A micro introduction to Bayesian modeling with BRMS
Julin Maloof
Frequentist vs Bayesian Statistics
Frequentist Statistics
- What is the probability of the data given a hypothesis
- Theory relies on data that is not observed
- Accept or reject null hypothesis
- Does not require use of priors
Bayesian
- What is the probability of the hypothesis given the data
- Does not rely on unobserved data
- Evaluate ratio of probabilities for different hypotheses
- Requires specification of prior beliefs (not as bad as it sounds!)
Prior probabilities
- Bayesian methods require that we specify prior probabilities on the model parameters
- This might sound like we are cheating
- Instead we use relatively uninformative priors
- As long as we have set relatively weak (uninformative) priors, the data will overwhelm the priors
- (Although if we do have prior information we can use informative priors)
Sampling
- Bayesian model fitting requires sampling different parameter values
- For each set of parameters test, calculate the probability of the model, given the data
- Similar to what we discussed two weeks ago with the
nlsfunction
- Similar to what we discussed two weeks ago with the
- Difference is that for
nlsthe goal was just to find the “BEST” set of parameters - For Bayesian we need to sample enough to define the probability “landscape”
- Typically several thousand sets of parameter values are sampled
Posterior probabilities
- One output of Bayesian model fitting is a set of posterior probabilities
- These will give us the distribution of possible parameter values for each model parameter, given the data and the priors
- We can do further tests/comparisons once we have these posterior probabilities
Diagnostics
- It is critically important to evaluate whether the sampling worked well
- Typically four sampling “chains” are run
Rhatcompares variance between and within chains. Should be < 1.05ESS(Effective sampling size) should be > 100 per chain
Let’s try it
Please create two objects
datsmallthat only retains observations from “2023-01-27”datsmallbcdthat only retains BH, CC, and DPR observations from “2023-01-27”
Check the number of “cores” on our computer
- Most computers have multiple “cores” or CPUs that can be used in parallel.
- Let’s check what we have. We will use this on the next slide.
What are the default priors?
- We will use what should now be a familiar formula to specify our model
- We can ask what priors would be used by default for our formula and data
prior class coef group resp dpar nlpar lb ub
(flat) b
(flat) b popCC
(flat) b popDPR
student_t(3, 3.5, 2.5) Intercept
student_t(3, 0, 2.5) sigma 0
source
default
(vectorized)
(vectorized)
default
default- They “b” class are the coefficients on fixed effects.
- They have a flat prior (all values from -Infinity to +Infinity are equally likely)
- We can do better than this while still not biasing the model (next slide)
- Student_t is like a fat-tailed normal distribution.
- The intercept is centered at 3.5,
- sigma (standard deviation) is centered at 0
Student vs normal
Fit a model with height being predicted by pop
- We use an uninformative prior for “b”, the coefficient for differences between pops
- We are setting this prior to be normally distributed, centered on 0, with a standard deviation of 10
- Note “b” refers to any fixed-effect coefficients. If we had multiple fixed effects we could give them all the same prior, or we could specify them individually.
- By default brms uses 4 chains
cores = 4means that we want each chain to run in parallel in a different CPU in our computer. - By default, each chain has 1,000 warm-up samples and 1,000 real samples
Fit a model with height being predicted by pop
CORRECTED: cores=4 not threads=4
m1 <- brm(height_cm ~ pop,
data = datsmallbcd,
prior = set_prior("normal(0,10)", class = "b"),
sample_prior = TRUE,
cores = 4)Running /Library/Frameworks/R.framework/Resources/bin/R CMD SHLIB foo.c
using C compiler: ‘Apple clang version 13.1.6 (clang-1316.0.21.2.5)’
using SDK: ‘MacOSX12.3.sdk’
clang -arch arm64 -I"/Library/Frameworks/R.framework/Resources/include" -DNDEBUG -I"/Library/Frameworks/R.framework/Versions/4.3-arm64/Resources/library/Rcpp/include/" -I"/Library/Frameworks/R.framework/Versions/4.3-arm64/Resources/library/RcppEigen/include/" -I"/Library/Frameworks/R.framework/Versions/4.3-arm64/Resources/library/RcppEigen/include/unsupported" -I"/Library/Frameworks/R.framework/Versions/4.3-arm64/Resources/library/BH/include" -I"/Library/Frameworks/R.framework/Versions/4.3-arm64/Resources/library/StanHeaders/include/src/" -I"/Library/Frameworks/R.framework/Versions/4.3-arm64/Resources/library/StanHeaders/include/" -I"/Library/Frameworks/R.framework/Versions/4.3-arm64/Resources/library/RcppParallel/include/" -I"/Library/Frameworks/R.framework/Versions/4.3-arm64/Resources/library/rstan/include" -DEIGEN_NO_DEBUG -DBOOST_DISABLE_ASSERTS -DBOOST_PENDING_INTEGER_LOG2_HPP -DSTAN_THREADS -DUSE_STANC3 -DSTRICT_R_HEADERS -DBOOST_PHOENIX_NO_VARIADIC_EXPRESSION -D_HAS_AUTO_PTR_ETC=0 -include '/Library/Frameworks/R.framework/Versions/4.3-arm64/Resources/library/StanHeaders/include/stan/math/prim/fun/Eigen.hpp' -D_REENTRANT -DRCPP_PARALLEL_USE_TBB=1 "-I/opt/R/arm64/include -I/opt/homebrew/include" -fPIC -falign-functions=64 -Wall -g -O2 -c foo.c -o foo.o
In file included from <built-in>:1:
In file included from /Library/Frameworks/R.framework/Versions/4.3-arm64/Resources/library/StanHeaders/include/stan/math/prim/fun/Eigen.hpp:22:
In file included from /Library/Frameworks/R.framework/Versions/4.3-arm64/Resources/library/RcppEigen/include/Eigen/Dense:1:
In file included from /Library/Frameworks/R.framework/Versions/4.3-arm64/Resources/library/RcppEigen/include/Eigen/Core:88:
/Library/Frameworks/R.framework/Versions/4.3-arm64/Resources/library/RcppEigen/include/Eigen/src/Core/util/Macros.h:628:1: error: unknown type name 'namespace'
namespace Eigen {
^
/Library/Frameworks/R.framework/Versions/4.3-arm64/Resources/library/RcppEigen/include/Eigen/src/Core/util/Macros.h:628:16: error: expected ';' after top level declarator
namespace Eigen {
^
;
In file included from <built-in>:1:
In file included from /Library/Frameworks/R.framework/Versions/4.3-arm64/Resources/library/StanHeaders/include/stan/math/prim/fun/Eigen.hpp:22:
In file included from /Library/Frameworks/R.framework/Versions/4.3-arm64/Resources/library/RcppEigen/include/Eigen/Dense:1:
/Library/Frameworks/R.framework/Versions/4.3-arm64/Resources/library/RcppEigen/include/Eigen/Core:96:10: fatal error: 'complex' file not found
#include <complex>
^~~~~~~~~
3 errors generated.
make: *** [foo.o] Error 1The output shows us the progress of each chain
Model summary
Family: gaussian
Links: mu = identity; sigma = identity
Formula: height_cm ~ pop
Data: datsmallbcd (Number of observations: 155)
Draws: 4 chains, each with iter = 2000; warmup = 1000; thin = 1;
total post-warmup draws = 4000
Population-Level Effects:
Estimate Est.Error l-95% CI u-95% CI Rhat Bulk_ESS Tail_ESS
Intercept 3.22 0.12 2.98 3.46 1.00 3900 2762
popCC 1.46 0.25 0.97 1.95 1.00 4014 2729
popDPR 1.89 0.31 1.30 2.48 1.00 4345 3075
Family Specific Parameters:
Estimate Est.Error l-95% CI u-95% CI Rhat Bulk_ESS Tail_ESS
sigma 1.25 0.07 1.11 1.40 1.00 4181 2951
Draws were sampled using sampling(NUTS). For each parameter, Bulk_ESS
and Tail_ESS are effective sample size measures, and Rhat is the potential
scale reduction factor on split chains (at convergence, Rhat = 1).Estimateis the estimated heightInterceptis for the reference population (BH in this case)popCCis the estimated difference between CC and BH
- 95% confidence intervals show our confidence in the estimate.
If they do not cross 0, then we are at least 95% confident that our differences are real - Be sure to check
Rhatand the twoESSstats. What did we want these to be?
Model plots
- On the left we see the distribution of the posterior probability
- Check for unusual pattern, bimodality, etc.
- If the posterior is near the edge of the range of the prior, consider adjusting the prior
- On the right we see the value for each parameter for each sample of each chain
- Should look relatively uniform from left to right and chains should look similar
what are the other priors?
Our posterior plots had two coefficients that we did not specify priors for. What was used?
prior class coef group resp dpar nlpar lb ub
normal(0,10) b
normal(0,10) b popCC
normal(0,10) b popDPR
student_t(3, 3.5, 2.5) Intercept
student_t(3, 0, 2.5) sigma 0
source
user
(vectorized)
(vectorized)
default
defaultBayesian hypothesis testing
- Is popCC really different from popBH?
- Looking for
Post_probto be near 1 (probability that hypothesis is true)Evid.Ratio> 3 (>3 = “moderate evidence”, > 10 = “strong evidence”)
Hypothesis Tests for class b:
Hypothesis Estimate Est.Error CI.Lower CI.Upper Evid.Ratio Post.Prob Star
1 (popCC) > 0 1.46 0.25 1.05 1.88 Inf 1 *
---
'CI': 90%-CI for one-sided and 95%-CI for two-sided hypotheses.
'*': For one-sided hypotheses, the posterior probability exceeds 95%;
for two-sided hypotheses, the value tested against lies outside the 95%-CI.
Posterior probabilities of point hypotheses assume equal prior probabilities.Getting posterior probability for an estimate
Sometime I prefer to do this by “hand”
[1] 4000 12# A draws_df: 6 iterations, 1 chains, and 9 variables
b_Intercept b_popCC b_popDPR sigma prior_Intercept prior_b prior_sigma lprior
1 3.5 0.88 1.8 1.2 2.8 -22.2 2.02 -9.8
2 3.6 1.06 1.4 1.2 1.2 -8.9 0.27 -9.8
3 3.5 1.53 1.7 1.3 6.2 -13.2 5.66 -9.8
4 3.4 0.72 1.7 1.2 6.9 -3.7 5.61 -9.8
5 3.4 1.07 2.0 1.2 -1.7 -15.6 2.55 -9.8
6 3.0 1.83 2.2 1.3 4.0 -1.4 2.05 -9.8
# ... with 1 more variables
# ... hidden reserved variables {'.chain', '.iteration', '.draw'}How many draws are less than 0?
# A tibble: 1 × 1
CC_greater_than_zero
<dbl>
1 1- All 4000 posterior samples estimate the the CC coefficient is > 0
- This is very strong evidence the CC height is greater than BH height
Bayesian hypothesis testing
- Is popCC the same height as popDPR?
- Looking for
Post_probto be near 1 (probability that hypothesis is true)Evid.Ratioto > 3 (>3 = “moderate evidence”, > 10 = “strong evidence”)
Hypothesis Tests for class b:
Hypothesis Estimate Est.Error CI.Lower CI.Upper Evid.Ratio
1 (popCC)-(popDPR) = 0 -0.43 0.35 -1.12 0.26 18.44
Post.Prob Star
1 0.95
---
'CI': 90%-CI for one-sided and 95%-CI for two-sided hypotheses.
'*': For one-sided hypotheses, the posterior probability exceeds 95%;
for two-sided hypotheses, the value tested against lies outside the 95%-CI.
Posterior probabilities of point hypotheses assume equal prior probabilities.Fit a model with random effects:
- Really pop and block should probably both be random, but we will keep pop fixed for now
m2 <- brm(height_cm ~ pop + (1|block),
data = datsmallbcd,
prior = set_prior("normal(0,10)", class = "b"),
sample_prior = TRUE,
threads = 4)Running /Library/Frameworks/R.framework/Resources/bin/R CMD SHLIB foo.c
using C compiler: ‘Apple clang version 13.1.6 (clang-1316.0.21.2.5)’
using SDK: ‘MacOSX12.3.sdk’
clang -arch arm64 -I"/Library/Frameworks/R.framework/Resources/include" -DNDEBUG -I"/Library/Frameworks/R.framework/Versions/4.3-arm64/Resources/library/Rcpp/include/" -I"/Library/Frameworks/R.framework/Versions/4.3-arm64/Resources/library/RcppEigen/include/" -I"/Library/Frameworks/R.framework/Versions/4.3-arm64/Resources/library/RcppEigen/include/unsupported" -I"/Library/Frameworks/R.framework/Versions/4.3-arm64/Resources/library/BH/include" -I"/Library/Frameworks/R.framework/Versions/4.3-arm64/Resources/library/StanHeaders/include/src/" -I"/Library/Frameworks/R.framework/Versions/4.3-arm64/Resources/library/StanHeaders/include/" -I"/Library/Frameworks/R.framework/Versions/4.3-arm64/Resources/library/RcppParallel/include/" -I"/Library/Frameworks/R.framework/Versions/4.3-arm64/Resources/library/rstan/include" -DEIGEN_NO_DEBUG -DBOOST_DISABLE_ASSERTS -DBOOST_PENDING_INTEGER_LOG2_HPP -DSTAN_THREADS -DUSE_STANC3 -DSTRICT_R_HEADERS -DBOOST_PHOENIX_NO_VARIADIC_EXPRESSION -D_HAS_AUTO_PTR_ETC=0 -include '/Library/Frameworks/R.framework/Versions/4.3-arm64/Resources/library/StanHeaders/include/stan/math/prim/fun/Eigen.hpp' -D_REENTRANT -DRCPP_PARALLEL_USE_TBB=1 "-I/opt/R/arm64/include -I/opt/homebrew/include" -fPIC -falign-functions=64 -Wall -g -O2 -c foo.c -o foo.o
In file included from <built-in>:1:
In file included from /Library/Frameworks/R.framework/Versions/4.3-arm64/Resources/library/StanHeaders/include/stan/math/prim/fun/Eigen.hpp:22:
In file included from /Library/Frameworks/R.framework/Versions/4.3-arm64/Resources/library/RcppEigen/include/Eigen/Dense:1:
In file included from /Library/Frameworks/R.framework/Versions/4.3-arm64/Resources/library/RcppEigen/include/Eigen/Core:88:
/Library/Frameworks/R.framework/Versions/4.3-arm64/Resources/library/RcppEigen/include/Eigen/src/Core/util/Macros.h:628:1: error: unknown type name 'namespace'
namespace Eigen {
^
/Library/Frameworks/R.framework/Versions/4.3-arm64/Resources/library/RcppEigen/include/Eigen/src/Core/util/Macros.h:628:16: error: expected ';' after top level declarator
namespace Eigen {
^
;
In file included from <built-in>:1:
In file included from /Library/Frameworks/R.framework/Versions/4.3-arm64/Resources/library/StanHeaders/include/stan/math/prim/fun/Eigen.hpp:22:
In file included from /Library/Frameworks/R.framework/Versions/4.3-arm64/Resources/library/RcppEigen/include/Eigen/Dense:1:
/Library/Frameworks/R.framework/Versions/4.3-arm64/Resources/library/RcppEigen/include/Eigen/Core:96:10: fatal error: 'complex' file not found
#include <complex>
^~~~~~~~~
3 errors generated.
make: *** [foo.o] Error 1
SAMPLING FOR MODEL 'anon_model' NOW (CHAIN 1).
Chain 1:
Chain 1: Gradient evaluation took 0.000107 seconds
Chain 1: 1000 transitions using 10 leapfrog steps per transition would take 1.07 seconds.
Chain 1: Adjust your expectations accordingly!
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SAMPLING FOR MODEL 'anon_model' NOW (CHAIN 2).
Chain 2:
Chain 2: Gradient evaluation took 1.1e-05 seconds
Chain 2: 1000 transitions using 10 leapfrog steps per transition would take 0.11 seconds.
Chain 2: Adjust your expectations accordingly!
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Chain 2:
SAMPLING FOR MODEL 'anon_model' NOW (CHAIN 3).
Chain 3:
Chain 3: Gradient evaluation took 1.4e-05 seconds
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Chain 3: Adjust your expectations accordingly!
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SAMPLING FOR MODEL 'anon_model' NOW (CHAIN 4).
Chain 4:
Chain 4: Gradient evaluation took 1.2e-05 seconds
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Chain 4:
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Chain 4: 0.362 seconds (Total)
Chain 4: what priors were used for random effects?
prior class coef group resp dpar nlpar lb ub
normal(0,10) b
normal(0,10) b popCC
normal(0,10) b popDPR
student_t(3, 3.5, 2.5) Intercept
student_t(3, 0, 2.5) sd 0
student_t(3, 0, 2.5) sd block 0
student_t(3, 0, 2.5) sd Intercept block 0
student_t(3, 0, 2.5) sigma 0
source
user
(vectorized)
(vectorized)
default
default
(vectorized)
(vectorized)
defaultCheck model sampling (do your own)
summary
Family: gaussian
Links: mu = identity; sigma = identity
Formula: height_cm ~ pop + (1 | block)
Data: datsmallbcd (Number of observations: 155)
Draws: 4 chains, each with iter = 2000; warmup = 1000; thin = 1;
total post-warmup draws = 4000
Group-Level Effects:
~block (Number of levels: 10)
Estimate Est.Error l-95% CI u-95% CI Rhat Bulk_ESS Tail_ESS
sd(Intercept) 0.50 0.20 0.20 0.95 1.00 1139 1582
Population-Level Effects:
Estimate Est.Error l-95% CI u-95% CI Rhat Bulk_ESS Tail_ESS
Intercept 3.23 0.20 2.83 3.63 1.00 1660 1426
popCC 1.42 0.24 0.94 1.89 1.00 4314 2985
popDPR 1.85 0.29 1.29 2.41 1.00 4326 2981
Family Specific Parameters:
Estimate Est.Error l-95% CI u-95% CI Rhat Bulk_ESS Tail_ESS
sigma 1.18 0.07 1.05 1.33 1.00 3867 3094
Draws were sampled using sampling(NUTS). For each parameter, Bulk_ESS
and Tail_ESS are effective sample size measures, and Rhat is the potential
scale reduction factor on split chains (at convergence, Rhat = 1).plots
Is it better than the model without the random effect?
elpd_diff se_diff
m2 0.0 0.0
m1 -5.3 3.3 - Preferred model is listed first
elpd_diffis how much worse a model is relative to the preferred model- Want this to be greater (ideally 2X greater) than
se_diffto favor the more complex model
Weibull in brms
Data set:
Use all dates for the Weibull modeling
Non-linear model specification in brms
Our formula specification is a bit more complex, so we use the function brmsformula to define the non-linear formula.
I am also going to rename a couple of the parameters to be more clear
- The first line should look familiar (Weibull formula)
- I am dividing k by 100 just to get it on a more reasonable scale
- The second line is new, and it defines how each parameter should be fit with respect to the predictors in our data set.
- The notation
Hmax + Hmin + k + delta ~ 1means that we want a single parameter value (Intercept) for each of the four parameters nl=TRUEtells brms that this is a non-linear formula.
get the priors
Please review your notes and figure out how to get the possible priors for the formula on the previous slide
prior class coef group resp dpar nlpar lb ub source
student_t(3, 0, 4.2) sigma 0 default
(flat) b delta default
(flat) b Intercept delta (vectorized)
(flat) b Hmax default
(flat) b Intercept Hmax (vectorized)
(flat) b Hmin default
(flat) b Intercept Hmin (vectorized)
(flat) b k default
(flat) b Intercept k (vectorized)Set the priors
What priors should we use?
Why gamma?
- Want to constrain k and delta to be > 0.
- Setting lower bounds causes problems
- Gamma distribution is positive
Fit the model
Running /Library/Frameworks/R.framework/Resources/bin/R CMD SHLIB foo.c
using C compiler: ‘Apple clang version 13.1.6 (clang-1316.0.21.2.5)’
using SDK: ‘MacOSX12.3.sdk’
clang -arch arm64 -I"/Library/Frameworks/R.framework/Resources/include" -DNDEBUG -I"/Library/Frameworks/R.framework/Versions/4.3-arm64/Resources/library/Rcpp/include/" -I"/Library/Frameworks/R.framework/Versions/4.3-arm64/Resources/library/RcppEigen/include/" -I"/Library/Frameworks/R.framework/Versions/4.3-arm64/Resources/library/RcppEigen/include/unsupported" -I"/Library/Frameworks/R.framework/Versions/4.3-arm64/Resources/library/BH/include" -I"/Library/Frameworks/R.framework/Versions/4.3-arm64/Resources/library/StanHeaders/include/src/" -I"/Library/Frameworks/R.framework/Versions/4.3-arm64/Resources/library/StanHeaders/include/" -I"/Library/Frameworks/R.framework/Versions/4.3-arm64/Resources/library/RcppParallel/include/" -I"/Library/Frameworks/R.framework/Versions/4.3-arm64/Resources/library/rstan/include" -DEIGEN_NO_DEBUG -DBOOST_DISABLE_ASSERTS -DBOOST_PENDING_INTEGER_LOG2_HPP -DSTAN_THREADS -DUSE_STANC3 -DSTRICT_R_HEADERS -DBOOST_PHOENIX_NO_VARIADIC_EXPRESSION -D_HAS_AUTO_PTR_ETC=0 -include '/Library/Frameworks/R.framework/Versions/4.3-arm64/Resources/library/StanHeaders/include/stan/math/prim/fun/Eigen.hpp' -D_REENTRANT -DRCPP_PARALLEL_USE_TBB=1 "-I/opt/R/arm64/include -I/opt/homebrew/include" -fPIC -falign-functions=64 -Wall -g -O2 -c foo.c -o foo.o
In file included from <built-in>:1:
In file included from /Library/Frameworks/R.framework/Versions/4.3-arm64/Resources/library/StanHeaders/include/stan/math/prim/fun/Eigen.hpp:22:
In file included from /Library/Frameworks/R.framework/Versions/4.3-arm64/Resources/library/RcppEigen/include/Eigen/Dense:1:
In file included from /Library/Frameworks/R.framework/Versions/4.3-arm64/Resources/library/RcppEigen/include/Eigen/Core:88:
/Library/Frameworks/R.framework/Versions/4.3-arm64/Resources/library/RcppEigen/include/Eigen/src/Core/util/Macros.h:628:1: error: unknown type name 'namespace'
namespace Eigen {
^
/Library/Frameworks/R.framework/Versions/4.3-arm64/Resources/library/RcppEigen/include/Eigen/src/Core/util/Macros.h:628:16: error: expected ';' after top level declarator
namespace Eigen {
^
;
In file included from <built-in>:1:
In file included from /Library/Frameworks/R.framework/Versions/4.3-arm64/Resources/library/StanHeaders/include/stan/math/prim/fun/Eigen.hpp:22:
In file included from /Library/Frameworks/R.framework/Versions/4.3-arm64/Resources/library/RcppEigen/include/Eigen/Dense:1:
/Library/Frameworks/R.framework/Versions/4.3-arm64/Resources/library/RcppEigen/include/Eigen/Core:96:10: fatal error: 'complex' file not found
#include <complex>
^~~~~~~~~
3 errors generated.
make: *** [foo.o] Error 1Get the summary
Family: gaussian
Links: mu = identity; sigma = identity
Formula: height_cm ~ Hmax - (Hmax - Hmin) * exp(-(k/100 * day)^delta)
Hmax ~ 1
Hmin ~ 1
k ~ 1
delta ~ 1
Data: datbcd (Number of observations: 907)
Draws: 4 chains, each with iter = 2000; warmup = 1000; thin = 1;
total post-warmup draws = 4000
Population-Level Effects:
Estimate Est.Error l-95% CI u-95% CI Rhat Bulk_ESS Tail_ESS
Hmax_Intercept 65.44 1.48 62.66 68.43 1.00 2040 2171
Hmin_Intercept 4.22 0.54 3.14 5.26 1.00 2690 2731
k_Intercept 0.67 0.01 0.64 0.69 1.01 1800 2008
delta_Intercept 6.09 0.47 5.24 7.05 1.00 1832 2321
Family Specific Parameters:
Estimate Est.Error l-95% CI u-95% CI Rhat Bulk_ESS Tail_ESS
sigma 11.43 0.26 10.93 11.95 1.00 3576 2775
Draws were sampled using sampling(NUTS). For each parameter, Bulk_ESS
and Tail_ESS are effective sample size measures, and Rhat is the potential
scale reduction factor on split chains (at convergence, Rhat = 1).fit1 plots
fit 1 predictions
fit 1 plot predictions per pop
- Please write code to generate the plot below (you can do this by adding one function call to the code on the previous slide)
- In your own words, how did it do?
Allow a different Hmax for each pop
- The plants from different pops grow to different heights. Maybe we should model that.
- With only 3 pops we will use a fixed effect. (Need 5+ for random effect)
- See below for how we specify that Hmax should take on a different value for each pop
get the priors
Please review your notes and figure out how to get the possible priors for the formula on the previous slide
prior class coef group resp dpar nlpar lb ub source
student_t(3, 0, 4.2) sigma 0 default
(flat) b delta default
(flat) b Intercept delta (vectorized)
(flat) b Hmax default
(flat) b Intercept Hmax (vectorized)
(flat) b popCC Hmax (vectorized)
(flat) b popDPR Hmax (vectorized)
(flat) b Hmin default
(flat) b Intercept Hmin (vectorized)
(flat) b k default
(flat) b Intercept k (vectorized)Set the priors
- Do these seem reasonable to you?
prior2 <- c(set_prior("normal(5,3)", nlpar="Hmin"),
set_prior("normal(60,15)", nlpar="Hmax"),
set_prior("normal(0,20)", nlpar="Hmax", coef="popCC"),
set_prior("normal(0,20)", nlpar="Hmax", coef="popDPR"),
set_prior("gamma(2,2)", nlpar = "k"), # gamma constrains to be > 0
set_prior("gamma(20, 3)", nlpar="delta")
)Fit model 2
Running /Library/Frameworks/R.framework/Resources/bin/R CMD SHLIB foo.c
using C compiler: ‘Apple clang version 13.1.6 (clang-1316.0.21.2.5)’
using SDK: ‘MacOSX12.3.sdk’
clang -arch arm64 -I"/Library/Frameworks/R.framework/Resources/include" -DNDEBUG -I"/Library/Frameworks/R.framework/Versions/4.3-arm64/Resources/library/Rcpp/include/" -I"/Library/Frameworks/R.framework/Versions/4.3-arm64/Resources/library/RcppEigen/include/" -I"/Library/Frameworks/R.framework/Versions/4.3-arm64/Resources/library/RcppEigen/include/unsupported" -I"/Library/Frameworks/R.framework/Versions/4.3-arm64/Resources/library/BH/include" -I"/Library/Frameworks/R.framework/Versions/4.3-arm64/Resources/library/StanHeaders/include/src/" -I"/Library/Frameworks/R.framework/Versions/4.3-arm64/Resources/library/StanHeaders/include/" -I"/Library/Frameworks/R.framework/Versions/4.3-arm64/Resources/library/RcppParallel/include/" -I"/Library/Frameworks/R.framework/Versions/4.3-arm64/Resources/library/rstan/include" -DEIGEN_NO_DEBUG -DBOOST_DISABLE_ASSERTS -DBOOST_PENDING_INTEGER_LOG2_HPP -DSTAN_THREADS -DUSE_STANC3 -DSTRICT_R_HEADERS -DBOOST_PHOENIX_NO_VARIADIC_EXPRESSION -D_HAS_AUTO_PTR_ETC=0 -include '/Library/Frameworks/R.framework/Versions/4.3-arm64/Resources/library/StanHeaders/include/stan/math/prim/fun/Eigen.hpp' -D_REENTRANT -DRCPP_PARALLEL_USE_TBB=1 "-I/opt/R/arm64/include -I/opt/homebrew/include" -fPIC -falign-functions=64 -Wall -g -O2 -c foo.c -o foo.o
In file included from <built-in>:1:
In file included from /Library/Frameworks/R.framework/Versions/4.3-arm64/Resources/library/StanHeaders/include/stan/math/prim/fun/Eigen.hpp:22:
In file included from /Library/Frameworks/R.framework/Versions/4.3-arm64/Resources/library/RcppEigen/include/Eigen/Dense:1:
In file included from /Library/Frameworks/R.framework/Versions/4.3-arm64/Resources/library/RcppEigen/include/Eigen/Core:88:
/Library/Frameworks/R.framework/Versions/4.3-arm64/Resources/library/RcppEigen/include/Eigen/src/Core/util/Macros.h:628:1: error: unknown type name 'namespace'
namespace Eigen {
^
/Library/Frameworks/R.framework/Versions/4.3-arm64/Resources/library/RcppEigen/include/Eigen/src/Core/util/Macros.h:628:16: error: expected ';' after top level declarator
namespace Eigen {
^
;
In file included from <built-in>:1:
In file included from /Library/Frameworks/R.framework/Versions/4.3-arm64/Resources/library/StanHeaders/include/stan/math/prim/fun/Eigen.hpp:22:
In file included from /Library/Frameworks/R.framework/Versions/4.3-arm64/Resources/library/RcppEigen/include/Eigen/Dense:1:
/Library/Frameworks/R.framework/Versions/4.3-arm64/Resources/library/RcppEigen/include/Eigen/Core:96:10: fatal error: 'complex' file not found
#include <complex>
^~~~~~~~~
3 errors generated.
make: *** [foo.o] Error 1Fit 2 summary
Any Problems?
Family: gaussian
Links: mu = identity; sigma = identity
Formula: height_cm ~ Hmax - (Hmax - Hmin) * exp(-(k/100 * day)^delta)
Hmin ~ 1
k ~ 1
delta ~ 1
Hmax ~ pop
Data: datbcd (Number of observations: 907)
Draws: 4 chains, each with iter = 2000; warmup = 1000; thin = 1;
total post-warmup draws = 4000
Population-Level Effects:
Estimate Est.Error l-95% CI u-95% CI Rhat Bulk_ESS Tail_ESS
Hmin_Intercept 4.01 0.53 2.97 5.02 1.00 2749 2667
k_Intercept 0.66 0.01 0.64 0.68 1.00 2385 2282
delta_Intercept 6.04 0.46 5.20 6.97 1.00 2040 2521
Hmax_Intercept 65.55 1.53 62.70 68.74 1.00 2590 2436
Hmax_popCC 10.99 11.90 -12.75 33.86 1.00 3715 2492
Hmax_popDPR 48.97 11.90 25.40 72.03 1.00 3561 2796
Family Specific Parameters:
Estimate Est.Error l-95% CI u-95% CI Rhat Bulk_ESS Tail_ESS
sigma 11.27 0.26 10.77 11.79 1.00 4004 2873
Draws were sampled using sampling(NUTS). For each parameter, Bulk_ESS
and Tail_ESS are effective sample size measures, and Rhat is the potential
scale reduction factor on split chains (at convergence, Rhat = 1).Fit 2 plots
Any problems?
Fit 2 plot the predictions
Fit 2 Extend the CC and DPR curves out for all days
- It would be nice to get predictions for CC and DPR all the way out to day 200
- To do this, we create a data frame containing each day and pop for which we would like a prediction
- The function
expand_gridcreates a data frame with all combinations of the items it is given (days and pops in this case).
Fit 2 Extend the CC and DPR curves out for all days (slide 2)
- Now we use our prediction data frame to generate predictions
fit2.predictions <- cbind(pred.df, prediction=predict(fit2, newdata = pred.df)[,"Estimate"]) %>%
full_join(datbcd, by=c("day", "pop"))
fit2.predictions day pop prediction plantID survey_date block row col mf rep height_cm
1 30 CC 3.992822 D14B 2023-01-27 D1 4 B 5 12 3.7
2 30 CC 3.992822 D16B 2023-01-27 D1 6 B 3 10 2.3
3 30 CC 3.992822 D112A 2023-01-27 D1 12 A 7 4 4.1
4 30 CC 3.992822 D228B 2023-01-27 D2 28 B 2 13 4.1
5 30 CC 3.992822 D235A 2023-01-27 D2 35 A 1 11 5.4
6 30 CC 3.992822 D239A 2023-01-27 D2 39 A 5 7 3.6
7 30 CC 3.992822 D239B 2023-01-27 D2 39 B 4 5 5.1
8 30 CC 3.992822 D14C 2023-01-27 D1 4 C 4 9 0.9
9 30 CC 3.992822 F112A 2023-01-27 F1 12 A 6 3 6.5
10 30 CC 3.992822 F120B 2023-01-27 F1 20 B 2 4 6.0
11 30 CC 3.992822 F231A 2023-01-27 F2 31 A 7 8 4.9
12 30 CC 3.992822 F117D 2023-01-27 F1 17 D 3 13 4.7
13 30 CC 3.992822 F224C 2023-01-27 F2 24 C 1 6 3.4
14 30 CC 3.992822 F234D 2023-01-27 F2 34 D 3 12 5.6
15 30 CC 3.992822 H111B 2023-01-27 H1 11 B 7 2 6.8
16 30 CC 3.992822 H115B 2023-01-27 H1 15 B 3 3 5.5
17 30 CC 3.992822 H116A 2023-01-27 H1 16 A 4 10 6.3
18 30 CC 3.992822 H116B 2023-01-27 H1 16 B 6 6 4.4
19 30 CC 3.992822 H221A 2023-01-27 H2 21 A 3 5 4.8
20 30 CC 3.992822 H234B 2023-01-27 H2 34 B 4 7 3.4
21 30 CC 3.992822 H19D 2023-01-27 H1 9 D 2 2 4.8
22 30 CC 3.992822 H236C 2023-01-27 H2 36 C 2 1 5.6
23 30 CC 3.992822 J19D 2023-01-27 J1 9 D 2 6 3.8
24 30 CC 3.992822 J116C 2023-01-27 J1 16 C 6 4 5.6
25 30 CC 3.992822 J236C 2023-01-27 J2 36 C 5 5 4.2
26 30 CC 3.992822 J239C 2023-01-27 J2 39 C 2 3 6.9
27 30 CC 3.992822 J110A 2023-01-27 J1 10 A 3 2 6.3
28 30 CC 3.992822 J112B 2023-01-27 J1 12 B 4 4 4.1
29 30 CC 3.992822 J238B 2023-01-27 J2 38 B 3 9 4.6
30 30 CC 3.992822 L18A 2023-01-27 L1 8 A 4 6 3.4
31 30 CC 3.992822 L232A 2023-01-27 L2 32 A 5 3 5.5
32 30 CC 3.992822 L114D 2023-01-27 L1 14 D 1 1 3.9
33 30 CC 3.992822 L117C 2023-01-27 L1 17 C 7 3 4.2
34 30 BH 4.273811 D15B 2023-01-27 D1 5 B 5 24 3.9
35 30 BH 4.273811 D18B 2023-01-27 D1 8 B 6 7 2.2
36 30 BH 4.273811 D111B 2023-01-27 D1 11 B 7 4 3.7
37 30 BH 4.273811 D119B 2023-01-27 D1 19 B 2 8 3.7
38 30 BH 4.273811 D120A 2023-01-27 D1 20 A 4 2 3.3
39 30 BH 4.273811 D226B 2023-01-27 D2 26 B 5 15 2.7
40 30 BH 4.273811 D230B 2023-01-27 D2 30 B 4 3 3.0
41 30 BH 4.273811 D233B 2023-01-27 D2 33 B 6 8 2.2
42 30 BH 4.273811 D235B 2023-01-27 D2 35 B 5 25 2.6
43 30 BH 4.273811 D16C 2023-01-27 D1 6 C 4 12 3.1
44 30 BH 4.273811 D18D 2023-01-27 D1 8 D 7 17 1.6
45 30 BH 4.273811 D19C 2023-01-27 D1 9 C 1 8 2.1
46 30 BH 4.273811 D117C 2023-01-27 D1 17 C 5 14 3.2
47 30 BH 4.273811 D118D 2023-01-27 D1 18 D 3 5 2.3
48 30 BH 4.273811 D119D 2023-01-27 D1 19 D 5 9 1.4
49 30 BH 4.273811 D222C 2023-01-27 D2 22 C 7 18 1.4
50 30 BH 4.273811 D227C 2023-01-27 D2 27 C 7 5 3.1
51 30 BH 4.273811 D229C 2023-01-27 D2 29 C 4 13 3.3
52 30 BH 4.273811 D229D 2023-01-27 D2 29 D 2 9 2.9
53 30 BH 4.273811 D230D 2023-01-27 D2 30 D 1 10 2.3
54 30 BH 4.273811 D235D 2023-01-27 D2 35 D 3 6 3.7
55 30 BH 4.273811 F110A 2023-01-27 F1 10 A 7 19 2.9
56 30 BH 4.273811 F115A 2023-01-27 F1 15 A 6 9 3.6
57 30 BH 4.273811 F117B 2023-01-27 F1 17 B 2 10 3.4
58 30 BH 4.273811 F227A 2023-01-27 F2 27 A 7 7 3.4
59 30 BH 4.273811 F229B 2023-01-27 F2 29 B 4 5 4.8
60 30 BH 4.273811 F240A 2023-01-27 F2 40 A 3 8 3.6
61 30 BH 4.273811 F240B 2023-01-27 F2 40 B 5 12 6.5
62 30 BH 4.273811 F13C 2023-01-27 F1 3 C 5 16 2.9
63 30 BH 4.273811 F15C 2023-01-27 F1 5 C 5 26 2.9
64 30 BH 4.273811 F17D 2023-01-27 F1 7 D 7 6 3.5
65 30 BH 4.273811 F113C 2023-01-27 F1 13 C 3 7 2.8
66 30 BH 4.273811 F115C 2023-01-27 F1 15 C 4 4 3.4
67 30 BH 4.273811 F120C 2023-01-27 F1 20 C 5 11 5.1
68 30 BH 4.273811 F120D 2023-01-27 F1 20 D 5 1 2.9
69 30 BH 4.273811 F225C 2023-01-27 F2 25 C 7 20 2.4
70 30 BH 4.273811 F231C 2023-01-27 F2 31 C 6 10 3.0
71 30 BH 4.273811 F233C 2023-01-27 F2 33 C 5 17 3.0
72 30 BH 4.273811 F233D 2023-01-27 F2 33 D 2 11 3.6
73 30 BH 4.273811 F235C 2023-01-27 F2 35 C 5 27 3.2
74 30 BH 4.273811 F235D 2023-01-27 F2 35 D 2 1 3.7
75 30 BH 4.273811 H14B 2023-01-27 H1 4 B 2 12 4.5
76 30 BH 4.273811 H18B 2023-01-27 H1 8 B 3 9 3.2
77 30 BH 4.273811 H114A 2023-01-27 H1 14 A 5 3 6.9
78 30 BH 4.273811 H117A 2023-01-27 H1 17 A 4 6 2.3
79 30 BH 4.273811 H118B 2023-01-27 H1 18 B 5 18 3.5
80 30 BH 4.273811 H224B 2023-01-27 H2 24 B 5 29 4.5
81 30 BH 4.273811 H227A 2023-01-27 H2 27 A 5 4 4.5
82 30 BH 4.273811 H229B 2023-01-27 H2 29 B 5 19 3.2
83 30 BH 4.273811 H233A 2023-01-27 H2 33 A 3 10 2.5
84 30 BH 4.273811 H233B 2023-01-27 H2 33 B 4 7 2.9
85 30 BH 4.273811 H239A 2023-01-27 H2 39 A 7 9 3.0
86 30 BH 4.273811 H239B 2023-01-27 H2 39 B 6 2 3.5
87 30 BH 4.273811 H15C 2023-01-27 H1 5 C 5 28 4.6
88 30 BH 4.273811 H110C 2023-01-27 H1 10 C 6 11 4.1
89 30 BH 4.273811 H115D 2023-01-27 H1 15 D 5 13 4.1
90 30 BH 4.273811 H117C 2023-01-27 H1 17 C 2 2 3.5
91 30 BH 4.273811 H119C 2023-01-27 H1 19 C 7 21 4.5
92 30 BH 4.273811 H222D 2023-01-27 H2 22 D 2 3 2.8
93 30 BH 4.273811 H223C 2023-01-27 H2 23 C 7 22 2.8
94 30 BH 4.273811 H227D 2023-01-27 H2 27 D 6 12 2.8
95 30 BH 4.273811 H235C 2023-01-27 H2 35 C 2 13 2.5
96 30 BH 4.273811 J19C 2023-01-27 J1 9 C 5 30 4.4
97 30 BH 4.273811 J110C 2023-01-27 J1 10 C 3 1 1.7
98 30 BH 4.273811 J112C 2023-01-27 J1 12 C 7 23 2.0
99 30 BH 4.273811 J114D 2023-01-27 J1 14 D 4 8 3.3
100 30 BH 4.273811 J116D 2023-01-27 J1 16 D 5 5 2.7
101 30 BH 4.273811 J119C 2023-01-27 J1 19 C 5 20 4.3
102 30 BH 4.273811 J223D 2023-01-27 J2 23 D 4 9 4.3
103 30 BH 4.273811 J225D 2023-01-27 J2 25 D 2 5 1.9
104 30 BH 4.273811 J230C 2023-01-27 J2 30 C 4 14 4.4
105 30 BH 4.273811 J231C 2023-01-27 J2 31 C 5 6 6.1
106 30 BH 4.273811 J231D 2023-01-27 J2 31 D 7 14 2.7
107 30 BH 4.273811 J232D 2023-01-27 J2 32 D 3 12 3.5
108 30 BH 4.273811 J235C 2023-01-27 J2 35 C 7 11 1.5
109 30 BH 4.273811 J236D 2023-01-27 J2 36 D 5 21 3.0
110 30 BH 4.273811 J14B 2023-01-27 J1 4 B 2 4 2.3
111 30 BH 4.273811 J119B 2023-01-27 J1 19 B 3 11 3.8
112 30 BH 4.273811 J120B 2023-01-27 J1 20 B 7 10 2.2
113 30 BH 4.273811 J241B 2023-01-27 J2 41 B 6 4 5.5
114 30 BH 4.273811 J233A 2023-01-27 J2 33 A 3 2 3.0
115 30 BH 4.273811 J237B 2023-01-27 J2 37 B 1 7 3.0
116 30 BH 4.273811 L15B 2023-01-27 L1 5 B 2 6 2.8
117 30 BH 4.273811 L18B 2023-01-27 L1 8 B 7 2 3.3
118 30 BH 4.273811 L110A 2023-01-27 L1 10 A 2 14 1.4
119 30 BH 4.273811 L111B 2023-01-27 L1 11 B 3 3 2.7
120 30 BH 4.273811 L115A 2023-01-27 L1 15 A 5 7 3.0
121 30 BH 4.273811 L120A 2023-01-27 L1 20 A 7 15 2.3
122 30 BH 4.273811 L14D 2023-01-27 L1 4 D 4 10 2.1
123 30 BH 4.273811 L113C 2023-01-27 L1 13 C 3 13 2.4
124 30 BH 4.273811 L113D 2023-01-27 L1 13 D 5 22 3.7
125 30 BH 4.273811 L116C 2023-01-27 L1 16 C 6 5 4.4
126 30 BH 4.273811 L118D 2023-01-27 L1 18 D 7 12 3.7
127 30 BH 4.273811 L228C 2023-01-27 L2 28 C 6 6 3.1
128 30 BH 4.273811 L228D 2023-01-27 L2 28 D 2 7 2.9
129 30 BH 4.273811 L229D 2023-01-27 L2 29 D 3 14 1.2
130 30 BH 4.273811 L230C 2023-01-27 L2 30 C 4 11 4.5
131 30 BH 4.273811 L234C 2023-01-27 L2 34 C 5 8 3.6
132 30 BH 4.273811 L237D 2023-01-27 L2 37 D 7 16 2.6
133 30 BH 4.273811 L240D 2023-01-27 L2 40 D 7 13 3.8
134 30 BH 4.273811 L241D 2023-01-27 L2 41 D 4 1 3.3
135 30 BH 4.273811 L242C 2023-01-27 L2 42 C 7 3 2.0
136 30 DPR 3.827380 D117A 2023-01-27 D1 17 A 6 4 4.1
137 30 DPR 3.827380 D225A 2023-01-27 D2 25 A 2 7 8.5
138 30 DPR 3.827380 D227B 2023-01-27 D2 27 B 4 9 7.0
139 30 DPR 3.827380 F19A 2023-01-27 F1 9 A 2 5 6.5
140 30 DPR 3.827380 F232A 2023-01-27 F2 32 A 6 2 2.5
141 30 DPR 3.827380 F241A 2023-01-27 F2 41 A 2 4 5.5
142 30 DPR 3.827380 F16C 2023-01-27 F1 6 C 6 9 2.5
143 30 DPR 3.827380 F240C 2023-01-27 F2 40 C 7 4 5.4
144 30 DPR 3.827380 H117B 2023-01-27 H1 17 B 5 2 6.4
145 30 DPR 3.827380 H226A 2023-01-27 H2 26 A 4 13 3.5
146 30 DPR 3.827380 H17C 2023-01-27 H1 7 C 2 10 7.8
147 30 DPR 3.827380 H225C 2023-01-27 H2 25 C 2 6 7.5
148 30 DPR 3.827380 J121D 2023-01-27 J1 21 D 4 8 3.9
149 30 DPR 3.827380 J16B 2023-01-27 J1 6 B 6 10 4.1
150 30 DPR 3.827380 J232A 2023-01-27 J2 32 A 2 12 7.5
151 30 DPR 3.827380 J232B 2023-01-27 J2 32 B 6 11 3.2
152 30 DPR 3.827380 L119B 2023-01-27 L1 19 B 4 11 4.3
153 30 DPR 3.827380 L237B 2023-01-27 L2 37 B 6 3 2.3
154 30 DPR 3.827380 L116D 2023-01-27 L1 16 D 6 13 4.5
155 30 DPR 3.827380 L233C 2023-01-27 L2 33 C 2 2 5.4
156 31 CC 4.068987 <NA> <NA> <NA> NA <NA> <NA> NA NA
157 31 BH 4.178526 <NA> <NA> <NA> NA <NA> <NA> NA NA
158 31 DPR 4.078825 <NA> <NA> <NA> NA <NA> <NA> NA NA
159 32 CC 4.142810 <NA> <NA> <NA> NA <NA> <NA> NA NA
160 32 BH 3.883001 <NA> <NA> <NA> NA <NA> <NA> NA NA
161 32 DPR 3.916884 <NA> <NA> <NA> NA <NA> <NA> NA NA
162 33 CC 4.034876 <NA> <NA> <NA> NA <NA> <NA> NA NA
163 33 BH 3.724878 <NA> <NA> <NA> NA <NA> <NA> NA NA
164 33 DPR 3.703282 <NA> <NA> <NA> NA <NA> <NA> NA NA
165 34 CC 3.867184 <NA> <NA> <NA> NA <NA> <NA> NA NA
166 34 BH 3.863181 <NA> <NA> <NA> NA <NA> <NA> NA NA
167 34 DPR 3.975043 <NA> <NA> <NA> NA <NA> <NA> NA NA
168 35 CC 3.883061 <NA> <NA> <NA> NA <NA> <NA> NA NA
169 35 BH 4.023801 <NA> <NA> <NA> NA <NA> <NA> NA NA
170 35 DPR 4.017210 <NA> <NA> <NA> NA <NA> <NA> NA NA
171 36 CC 3.585535 <NA> <NA> <NA> NA <NA> <NA> NA NA
172 36 BH 3.980126 <NA> <NA> <NA> NA <NA> <NA> NA NA
173 36 DPR 4.063230 <NA> <NA> <NA> NA <NA> <NA> NA NA
174 37 CC 4.045533 <NA> <NA> <NA> NA <NA> <NA> NA NA
175 37 BH 4.010852 <NA> <NA> <NA> NA <NA> <NA> NA NA
176 37 DPR 3.674292 <NA> <NA> <NA> NA <NA> <NA> NA NA
177 38 CC 4.049329 <NA> <NA> <NA> NA <NA> <NA> NA NA
178 38 BH 4.176141 <NA> <NA> <NA> NA <NA> <NA> NA NA
179 38 DPR 4.490353 <NA> <NA> <NA> NA <NA> <NA> NA NA
180 39 CC 4.132678 <NA> <NA> <NA> NA <NA> <NA> NA NA
181 39 BH 3.960575 <NA> <NA> <NA> NA <NA> <NA> NA NA
182 39 DPR 4.326573 <NA> <NA> <NA> NA <NA> <NA> NA NA
183 40 CC 3.864127 <NA> <NA> <NA> NA <NA> <NA> NA NA
184 40 BH 4.140640 <NA> <NA> <NA> NA <NA> <NA> NA NA
185 40 DPR 3.776637 <NA> <NA> <NA> NA <NA> <NA> NA NA
186 41 CC 4.319821 <NA> <NA> <NA> NA <NA> <NA> NA NA
187 41 BH 3.952420 <NA> <NA> <NA> NA <NA> <NA> NA NA
188 41 DPR 4.199894 <NA> <NA> <NA> NA <NA> <NA> NA NA
189 42 CC 3.723331 <NA> <NA> <NA> NA <NA> <NA> NA NA
190 42 BH 3.720707 <NA> <NA> <NA> NA <NA> <NA> NA NA
191 42 DPR 4.266908 <NA> <NA> <NA> NA <NA> <NA> NA NA
192 43 CC 3.829944 <NA> <NA> <NA> NA <NA> <NA> NA NA
193 43 BH 4.199972 <NA> <NA> <NA> NA <NA> <NA> NA NA
194 43 DPR 3.981887 <NA> <NA> <NA> NA <NA> <NA> NA NA
195 44 CC 3.866905 <NA> <NA> <NA> NA <NA> <NA> NA NA
196 44 BH 4.237729 <NA> <NA> <NA> NA <NA> <NA> NA NA
197 44 DPR 4.178732 <NA> <NA> <NA> NA <NA> <NA> NA NA
198 45 CC 4.237426 <NA> <NA> <NA> NA <NA> <NA> NA NA
199 45 BH 4.029533 <NA> <NA> <NA> NA <NA> <NA> NA NA
200 45 DPR 3.877307 <NA> <NA> <NA> NA <NA> <NA> NA NA
201 46 CC 4.284264 <NA> <NA> <NA> NA <NA> <NA> NA NA
202 46 BH 4.075417 <NA> <NA> <NA> NA <NA> <NA> NA NA
203 46 DPR 4.142105 <NA> <NA> <NA> NA <NA> <NA> NA NA
204 47 CC 4.361777 <NA> <NA> <NA> NA <NA> <NA> NA NA
205 47 BH 3.961679 <NA> <NA> <NA> NA <NA> <NA> NA NA
206 47 DPR 4.382056 <NA> <NA> <NA> NA <NA> <NA> NA NA
207 48 CC 4.002317 <NA> <NA> <NA> NA <NA> <NA> NA NA
208 48 BH 3.757518 <NA> <NA> <NA> NA <NA> <NA> NA NA
209 48 DPR 4.443257 <NA> <NA> <NA> NA <NA> <NA> NA NA
210 49 CC 3.850574 <NA> <NA> <NA> NA <NA> <NA> NA NA
211 49 BH 4.296565 <NA> <NA> <NA> NA <NA> <NA> NA NA
212 49 DPR 4.113538 <NA> <NA> <NA> NA <NA> <NA> NA NA
213 50 CC 3.991818 <NA> <NA> <NA> NA <NA> <NA> NA NA
214 50 BH 3.986769 <NA> <NA> <NA> NA <NA> <NA> NA NA
215 50 DPR 3.948452 <NA> <NA> <NA> NA <NA> <NA> NA NA
216 51 CC 4.284538 D14B 2023-02-17 D1 4 B 5 12 3.4
217 51 CC 4.284538 D112A 2023-02-17 D1 12 A 7 4 4.3
218 51 CC 4.284538 D228B 2023-02-17 D2 28 B 2 13 4.0
219 51 CC 4.284538 D235A 2023-02-17 D2 35 A 1 11 5.5
220 51 CC 4.284538 D239A 2023-02-17 D2 39 A 5 7 3.8
221 51 CC 4.284538 D239B 2023-02-17 D2 39 B 4 5 5.2
222 51 CC 4.284538 F112A 2023-02-17 F1 12 A 6 3 6.1
223 51 CC 4.284538 F120B 2023-02-17 F1 20 B 2 4 5.6
224 51 CC 4.284538 F231A 2023-02-17 F2 31 A 7 8 4.1
225 51 CC 4.284538 F117D 2023-02-17 F1 17 D 3 13 4.6
226 51 CC 4.284538 F234D 2023-02-17 F2 34 D 3 12 5.5
227 51 CC 4.284538 H111B 2023-02-17 H1 11 B 7 2 7.6
228 51 CC 4.284538 H115B 2023-02-17 H1 15 B 3 3 6.1
229 51 CC 4.284538 H116A 2023-02-17 H1 16 A 4 10 6.1
230 51 CC 4.284538 H234B 2023-02-17 H2 34 B 4 7 2.9
231 51 CC 4.284538 H19D 2023-02-17 H1 9 D 2 2 4.0
232 51 CC 4.284538 H236C 2023-02-17 H2 36 C 2 1 6.2
233 51 CC 4.284538 J110A 2023-02-17 J1 10 A 3 2 6.5
234 51 CC 4.284538 J112B 2023-02-17 J1 12 B 4 4 4.5
235 51 CC 4.284538 J228A 2023-02-17 J2 28 A 5 6 3.6
236 51 CC 4.284538 J238B 2023-02-17 J2 38 B 3 9 3.5
237 51 CC 4.284538 J19D 2023-02-17 J1 9 D 2 6 3.1
238 51 CC 4.284538 J236C 2023-02-17 J2 36 C 5 5 4.9
239 51 CC 4.284538 J239C 2023-02-17 J2 39 C 2 3 7.7
240 51 CC 4.284538 L18A 2023-02-17 L1 8 A 4 6 4.1
241 51 CC 4.284538 L232A 2023-02-17 L2 32 A 5 3 5.9
242 51 CC 4.284538 L117C 2023-02-17 L1 17 C 7 3 4.9
243 51 BH 4.315813 D15B 2023-02-17 D1 5 B 5 24 4.3
244 51 BH 4.315813 D18B 2023-02-17 D1 8 B 6 7 2.9
245 51 BH 4.315813 D111B 2023-02-17 D1 11 B 7 4 3.5
246 51 BH 4.315813 D119B 2023-02-17 D1 19 B 2 8 3.3
247 51 BH 4.315813 D120A 2023-02-17 D1 20 A 4 2 3.9
248 51 BH 4.315813 D226B 2023-02-17 D2 26 B 5 15 3.0
249 51 BH 4.315813 D230B 2023-02-17 D2 30 B 4 3 3.9
250 51 BH 4.315813 D233B 2023-02-17 D2 33 B 6 8 2.2
251 51 BH 4.315813 D235B 2023-02-17 D2 35 B 5 25 1.9
252 51 BH 4.315813 D16C 2023-02-17 D1 6 C 4 12 4.7
253 51 BH 4.315813 D18D 2023-02-17 D1 8 D 7 17 1.5
254 51 BH 4.315813 D19C 2023-02-17 D1 9 C 1 8 24.0
255 51 BH 4.315813 D117C 2023-02-17 D1 17 C 5 14 2.9
256 51 BH 4.315813 D118D 2023-02-17 D1 18 D 3 5 2.2
257 51 BH 4.315813 D119D 2023-02-17 D1 19 D 5 9 0.9
258 51 BH 4.315813 D227C 2023-02-17 D2 27 C 7 5 3.4
259 51 BH 4.315813 D229C 2023-02-17 D2 29 C 4 13 3.4
260 51 BH 4.315813 D229D 2023-02-17 D2 29 D 2 9 3.3
261 51 BH 4.315813 D230D 2023-02-17 D2 30 D 1 10 2.1
262 51 BH 4.315813 D235D 2023-02-17 D2 35 D 3 6 4.0
263 51 BH 4.315813 F115A 2023-02-17 F1 15 A 6 9 4.1
264 51 BH 4.315813 F117B 2023-02-17 F1 17 B 2 10 3.0
265 51 BH 4.315813 F229B 2023-02-17 F2 29 B 4 5 5.1
266 51 BH 4.315813 F240B 2023-02-17 F2 40 B 5 12 4.2
267 51 BH 4.315813 F15C 2023-02-17 F1 5 C 5 26 2.9
268 51 BH 4.315813 F17D 2023-02-17 F1 7 D 7 6 3.1
269 51 BH 4.315813 F113C 2023-02-17 F1 13 C 3 7 2.9
270 51 BH 4.315813 F115C 2023-02-17 F1 15 C 4 4 3.5
271 51 BH 4.315813 F120D 2023-02-17 F1 20 D 5 1 1.7
272 51 BH 4.315813 F225C 2023-02-17 F2 25 C 7 20 2.2
273 51 BH 4.315813 F233C 2023-02-17 F2 33 C 5 17 3.1
274 51 BH 4.315813 F233D 2023-02-17 F2 33 D 2 11 3.7
275 51 BH 4.315813 F235C 2023-02-17 F2 35 C 5 27 3.5
276 51 BH 4.315813 F235D 2023-02-17 F2 35 D 2 1 3.6
277 51 BH 4.315813 H14B 2023-02-17 H1 4 B 2 12 5.2
278 51 BH 4.315813 H18B 2023-02-17 H1 8 B 3 9 3.3
279 51 BH 4.315813 H114A 2023-02-17 H1 14 A 5 3 7.4
280 51 BH 4.315813 H117A 2023-02-17 H1 17 A 4 6 3.5
281 51 BH 4.315813 H118B 2023-02-17 H1 18 B 5 18 3.2
282 51 BH 4.315813 H224B 2023-02-17 H2 24 B 5 29 4.6
283 51 BH 4.315813 H227A 2023-02-17 H2 27 A 5 4 3.9
284 51 BH 4.315813 H229B 2023-02-17 H2 29 B 5 19 3.1
285 51 BH 4.315813 H233B 2023-02-17 H2 33 B 4 7 2.5
286 51 BH 4.315813 H239B 2023-02-17 H2 39 B 6 2 3.9
287 51 BH 4.315813 H15C 2023-02-17 H1 5 C 5 28 4.7
288 51 BH 4.315813 H110C 2023-02-17 H1 10 C 6 11 4.0
289 51 BH 4.315813 H115D 2023-02-17 H1 15 D 5 13 4.5
290 51 BH 4.315813 H119C 2023-02-17 H1 19 C 7 21 4.1
291 51 BH 4.315813 H222D 2023-02-17 H2 22 D 2 3 2.4
292 51 BH 4.315813 H223C 2023-02-17 H2 23 C 7 22 3.2
293 51 BH 4.315813 H227D 2023-02-17 H2 27 D 6 12 3.8
294 51 BH 4.315813 H235C 2023-02-17 H2 35 C 2 13 2.2
295 51 BH 4.315813 J14B 2023-02-17 J1 4 B 2 4 2.6
296 51 BH 4.315813 J119B 2023-02-17 J1 19 B 3 11 4.2
297 51 BH 4.315813 J233A 2023-02-17 J2 33 A 3 2 3.1
298 51 BH 4.315813 J237B 2023-02-17 J2 37 B 1 7 2.7
299 51 BH 4.315813 J241B 2023-02-17 J2 41 B 6 4 4.5
300 51 BH 4.315813 J19C 2023-02-17 J1 9 C 5 30 5.5
301 51 BH 4.315813 J110C 2023-02-17 J1 10 C 3 1 1.9
302 51 BH 4.315813 J114D 2023-02-17 J1 14 D 4 8 3.4
303 51 BH 4.315813 J119C 2023-02-17 J1 19 C 5 20 5.3
304 51 BH 4.315813 J223D 2023-02-17 J2 23 D 4 9 1.7
305 51 BH 4.315813 J225D 2023-02-17 J2 25 D 2 5 1.9
306 51 BH 4.315813 J230C 2023-02-17 J2 30 C 4 14 5.3
307 51 BH 4.315813 J231C 2023-02-17 J2 31 C 5 6 7.1
308 51 BH 4.315813 J231D 2023-02-17 J2 31 D 7 14 4.8
309 51 BH 4.315813 J232D 2023-02-17 J2 32 D 3 12 3.4
310 51 BH 4.315813 J236D 2023-02-17 J2 36 D 5 21 25.0
311 51 BH 4.315813 L15B 2023-02-17 L1 5 B 2 6 2.9
312 51 BH 4.315813 L18B 2023-02-17 L1 8 B 7 2 2.7
313 51 BH 4.315813 L110A 2023-02-17 L1 10 A 2 14 0.6
314 51 BH 4.315813 L111B 2023-02-17 L1 11 B 3 3 2.1
315 51 BH 4.315813 L120A 2023-02-17 L1 20 A 7 15 2.3
316 51 BH 4.315813 L14D 2023-02-17 L1 4 D 4 10 2.2
317 51 BH 4.315813 L113C 2023-02-17 L1 13 C 3 13 2.2
318 51 BH 4.315813 L113D 2023-02-17 L1 13 D 5 22 4.7
319 51 BH 4.315813 L116C 2023-02-17 L1 16 C 6 5 4.4
320 51 BH 4.315813 L228C 2023-02-17 L2 28 C 6 6 2.4
321 51 BH 4.315813 L228D 2023-02-17 L2 28 D 2 7 2.8
322 51 BH 4.315813 L229D 2023-02-17 L2 29 D 3 14 1.9
323 51 BH 4.315813 L230C 2023-02-17 L2 30 C 4 11 4.4
324 51 BH 4.315813 L234C 2023-02-17 L2 34 C 5 8 4.1
325 51 BH 4.315813 L237D 2023-02-17 L2 37 D 7 16 3.6
326 51 BH 4.315813 L240D 2023-02-17 L2 40 D 7 13 4.1
327 51 BH 4.315813 L241D 2023-02-17 L2 41 D 4 1 3.5
328 51 DPR 4.183179 D225A 2023-02-17 D2 25 A 2 7 8.9
329 51 DPR 4.183179 D227B 2023-02-17 D2 27 B 4 9 7.2
330 51 DPR 4.183179 F19A 2023-02-17 F1 9 A 2 5 6.0
331 51 DPR 4.183179 F232A 2023-02-17 F2 32 A 6 2 2.0
332 51 DPR 4.183179 F16C 2023-02-17 F1 6 C 6 9 2.6
333 51 DPR 4.183179 F240C 2023-02-17 F2 40 C 7 4 6.3
334 51 DPR 4.183179 H117B 2023-02-17 H1 17 B 5 2 8.1
335 51 DPR 4.183179 H17C 2023-02-17 H1 7 C 2 10 8.2
336 51 DPR 4.183179 H225C 2023-02-17 H2 25 C 2 6 7.8
337 51 DPR 4.183179 J16B 2023-02-17 J1 6 B 6 10 3.6
338 51 DPR 4.183179 J232B 2023-02-17 J2 32 B 6 11 2.1
339 51 DPR 4.183179 L119B 2023-02-17 L1 19 B 4 11 3.7
340 51 DPR 4.183179 L237B 2023-02-17 L2 37 B 6 3 4.0
341 51 DPR 4.183179 L116D 2023-02-17 L1 16 D 6 13 4.0
342 51 DPR 4.183179 L233C 2023-02-17 L2 33 C 2 2 5.7
343 52 CC 4.053981 <NA> <NA> <NA> NA <NA> <NA> NA NA
344 52 BH 4.217283 <NA> <NA> <NA> NA <NA> <NA> NA NA
345 52 DPR 4.012661 <NA> <NA> <NA> NA <NA> <NA> NA NA
346 53 CC 4.185297 <NA> <NA> <NA> NA <NA> <NA> NA NA
347 53 BH 4.503634 <NA> <NA> <NA> NA <NA> <NA> NA NA
348 53 DPR 4.321795 <NA> <NA> <NA> NA <NA> <NA> NA NA
349 54 CC 4.159477 <NA> <NA> <NA> NA <NA> <NA> NA NA
350 54 BH 4.254655 <NA> <NA> <NA> NA <NA> <NA> NA NA
351 54 DPR 4.145688 <NA> <NA> <NA> NA <NA> <NA> NA NA
352 55 CC 4.222352 <NA> <NA> <NA> NA <NA> <NA> NA NA
353 55 BH 4.194888 <NA> <NA> <NA> NA <NA> <NA> NA NA
354 55 DPR 4.409792 <NA> <NA> <NA> NA <NA> <NA> NA NA
355 56 CC 4.150925 <NA> <NA> <NA> NA <NA> <NA> NA NA
356 56 BH 4.066326 <NA> <NA> <NA> NA <NA> <NA> NA NA
357 56 DPR 4.167857 <NA> <NA> <NA> NA <NA> <NA> NA NA
358 57 CC 4.488152 <NA> <NA> <NA> NA <NA> <NA> NA NA
359 57 BH 4.255801 <NA> <NA> <NA> NA <NA> <NA> NA NA
360 57 DPR 4.360911 <NA> <NA> <NA> NA <NA> <NA> NA NA
361 58 CC 4.235308 <NA> <NA> <NA> NA <NA> <NA> NA NA
362 58 BH 4.246021 <NA> <NA> <NA> NA <NA> <NA> NA NA
363 58 DPR 4.166419 <NA> <NA> <NA> NA <NA> <NA> NA NA
364 59 CC 4.332433 <NA> <NA> <NA> NA <NA> <NA> NA NA
365 59 BH 4.197437 <NA> <NA> <NA> NA <NA> <NA> NA NA
366 59 DPR 4.581395 <NA> <NA> <NA> NA <NA> <NA> NA NA
367 60 CC 4.392791 <NA> <NA> <NA> NA <NA> <NA> NA NA
368 60 BH 4.426652 <NA> <NA> <NA> NA <NA> <NA> NA NA
369 60 DPR 4.376965 <NA> <NA> <NA> NA <NA> <NA> NA NA
370 61 CC 4.283974 <NA> <NA> <NA> NA <NA> <NA> NA NA
371 61 BH 4.651250 <NA> <NA> <NA> NA <NA> <NA> NA NA
372 61 DPR 4.328087 <NA> <NA> <NA> NA <NA> <NA> NA NA
373 62 CC 4.749299 <NA> <NA> <NA> NA <NA> <NA> NA NA
374 62 BH 4.166820 <NA> <NA> <NA> NA <NA> <NA> NA NA
375 62 DPR 4.835346 <NA> <NA> <NA> NA <NA> <NA> NA NA
376 63 CC 4.261104 <NA> <NA> <NA> NA <NA> <NA> NA NA
377 63 BH 4.137865 <NA> <NA> <NA> NA <NA> <NA> NA NA
378 63 DPR 4.538657 <NA> <NA> <NA> NA <NA> <NA> NA NA
379 64 CC 4.154024 <NA> <NA> <NA> NA <NA> <NA> NA NA
380 64 BH 4.158154 <NA> <NA> <NA> NA <NA> <NA> NA NA
381 64 DPR 4.607066 <NA> <NA> <NA> NA <NA> <NA> NA NA
382 65 CC 4.601989 D112A 2023-03-03 D1 12 A 7 4 5.7
383 65 CC 4.601989 D235A 2023-03-03 D2 35 A 1 11 5.9
384 65 CC 4.601989 D239A 2023-03-03 D2 39 A 5 7 3.9
385 65 CC 4.601989 D239B 2023-03-03 D2 39 B 4 5 5.8
386 65 CC 4.601989 F231A 2023-03-03 F2 31 A 7 8 5.4
387 65 CC 4.601989 F117D 2023-03-03 F1 17 D 3 13 5.7
388 65 CC 4.601989 H111B 2023-03-03 H1 11 B 7 2 8.6
389 65 CC 4.601989 H115B 2023-03-03 H1 15 B 3 3 6.4
390 65 CC 4.601989 H116A 2023-03-03 H1 16 A 4 10 8.0
391 65 CC 4.601989 H234B 2023-03-03 H2 34 B 4 7 3.5
392 65 CC 4.601989 H236C 2023-03-03 H2 36 C 2 1 5.9
393 65 CC 4.601989 J112B 2023-03-03 J1 12 B 4 4 5.8
394 65 CC 4.601989 J228A 2023-03-03 J2 28 A 5 6 4.3
395 65 CC 4.601989 J236C 2023-03-03 J2 36 C 5 5 5.2
396 65 CC 4.601989 J239C 2023-03-03 J2 39 C 2 3 8.2
397 65 CC 4.601989 L18A 2023-03-03 L1 8 A 4 6 5.5
398 65 CC 4.601989 L232A 2023-03-03 L2 32 A 5 3 6.3
399 65 CC 4.601989 L117C 2023-03-03 L1 17 C 7 3 4.8
400 65 BH 4.394426 D18B 2023-03-03 D1 8 B 6 7 3.3
401 65 BH 4.394426 D120A 2023-03-03 D1 20 A 4 2 6.5
402 65 BH 4.394426 D226B 2023-03-03 D2 26 B 5 15 4.2
403 65 BH 4.394426 D230B 2023-03-03 D2 30 B 4 3 4.9
404 65 BH 4.394426 D233B 2023-03-03 D2 33 B 6 8 4.0
405 65 BH 4.394426 D16C 2023-03-03 D1 6 C 4 12 5.9
406 65 BH 4.394426 D19C 2023-03-03 D1 9 C 1 8 2.7
407 65 BH 4.394426 D119D 2023-03-03 D1 19 D 5 9 1.4
408 65 BH 4.394426 D229C 2023-03-03 D2 29 C 4 13 4.7
409 65 BH 4.394426 D229D 2023-03-03 D2 29 D 2 9 4.8
410 65 BH 4.394426 D235D 2023-03-03 D2 35 D 3 6 5.2
411 65 BH 4.394426 F115A 2023-03-03 F1 15 A 6 9 5.5
412 65 BH 4.394426 F229B 2023-03-03 F2 29 B 4 5 5.0
413 65 BH 4.394426 F240B 2023-03-03 F2 40 B 5 12 4.3
414 65 BH 4.394426 F15C 2023-03-03 F1 5 C 5 26 2.9
415 65 BH 4.394426 F113C 2023-03-03 F1 13 C 3 7 3.8
416 65 BH 4.394426 F115C 2023-03-03 F1 15 C 4 4 4.9
417 65 BH 4.394426 F235C 2023-03-03 F2 35 C 5 27 4.2
418 65 BH 4.394426 F235D 2023-03-03 F2 35 D 2 1 4.5
419 65 BH 4.394426 H14B 2023-03-03 H1 4 B 2 12 5.1
420 65 BH 4.394426 H18B 2023-03-03 H1 8 B 3 9 3.5
421 65 BH 4.394426 H114A 2023-03-03 H1 14 A 5 3 6.9
422 65 BH 4.394426 H117A 2023-03-03 H1 17 A 4 6 3.3
423 65 BH 4.394426 H118B 2023-03-03 H1 18 B 5 18 5.0
424 65 BH 4.394426 H224B 2023-03-03 H2 24 B 5 29 9.3
425 65 BH 4.394426 H227A 2023-03-03 H2 27 A 5 4 3.9
426 65 BH 4.394426 H229B 2023-03-03 H2 29 B 5 19 4.4
427 65 BH 4.394426 H233B 2023-03-03 H2 33 B 4 7 2.5
428 65 BH 4.394426 H239B 2023-03-03 H2 39 B 6 2 3.5
429 65 BH 4.394426 H15C 2023-03-03 H1 5 C 5 28 5.3
430 65 BH 4.394426 H110C 2023-03-03 H1 10 C 6 11 3.7
431 65 BH 4.394426 H115D 2023-03-03 H1 15 D 5 13 4.8
432 65 BH 4.394426 H119C 2023-03-03 H1 19 C 7 21 4.6
433 65 BH 4.394426 H222D 2023-03-03 H2 22 D 2 3 3.1
434 65 BH 4.394426 H223C 2023-03-03 H2 23 C 7 22 3.4
435 65 BH 4.394426 H235C 2023-03-03 H2 35 C 2 13 2.8
436 65 BH 4.394426 J14B 2023-03-03 J1 4 B 2 4 3.6
437 65 BH 4.394426 J119B 2023-03-03 J1 19 B 3 11 5.6
438 65 BH 4.394426 J233A 2023-03-03 J2 33 A 3 2 4.6
439 65 BH 4.394426 J237B 2023-03-03 J2 37 B 1 7 4.8
440 65 BH 4.394426 J19C 2023-03-03 J1 9 C 5 30 5.6
441 65 BH 4.394426 J110C 2023-03-03 J1 10 C 3 1 2.2
442 65 BH 4.394426 J114D 2023-03-03 J1 14 D 4 8 3.5
443 65 BH 4.394426 J119C 2023-03-03 J1 19 C 5 20 5.2
444 65 BH 4.394426 J223D 2023-03-03 J2 23 D 4 9 4.9
445 65 BH 4.394426 J225D 2023-03-03 J2 25 D 2 5 1.9
446 65 BH 4.394426 J230C 2023-03-03 J2 30 C 4 14 6.3
447 65 BH 4.394426 J231C 2023-03-03 J2 31 C 5 6 7.8
448 65 BH 4.394426 J231D 2023-03-03 J2 31 D 7 14 7.7
449 65 BH 4.394426 J232D 2023-03-03 J2 32 D 3 12 3.5
450 65 BH 4.394426 L15B 2023-03-03 L1 5 B 2 6 3.8
451 65 BH 4.394426 L18B 2023-03-03 L1 8 B 7 2 2.3
452 65 BH 4.394426 L110A 2023-03-03 L1 10 A 2 14 1.2
453 65 BH 4.394426 L111B 2023-03-03 L1 11 B 3 3 2.5
454 65 BH 4.394426 L14D 2023-03-03 L1 4 D 4 10 3.6
455 65 BH 4.394426 L113C 2023-03-03 L1 13 C 3 13 2.4
456 65 BH 4.394426 L113D 2023-03-03 L1 13 D 5 22 4.6
457 65 BH 4.394426 L116C 2023-03-03 L1 16 C 6 5 4.8
458 65 BH 4.394426 L228C 2023-03-03 L2 28 C 6 6 2.2
459 65 BH 4.394426 L228D 2023-03-03 L2 28 D 2 7 3.5
460 65 BH 4.394426 L229D 2023-03-03 L2 29 D 3 14 2.1
461 65 BH 4.394426 L230C 2023-03-03 L2 30 C 4 11 5.1
462 65 BH 4.394426 L234C 2023-03-03 L2 34 C 5 8 4.4
463 65 BH 4.394426 L240D 2023-03-03 L2 40 D 7 13 4.3
464 65 BH 4.394426 L241D 2023-03-03 L2 41 D 4 1 3.2
465 65 DPR 4.736533 D225A 2023-03-03 D2 25 A 2 7 9.3
466 65 DPR 4.736533 D227B 2023-03-03 D2 27 B 4 9 7.9
467 65 DPR 4.736533 F232A 2023-03-03 F2 32 A 6 2 2.7
468 65 DPR 4.736533 F16C 2023-03-03 F1 6 C 6 9 4.3
469 65 DPR 4.736533 F240C 2023-03-03 F2 40 C 7 4 5.8
470 65 DPR 4.736533 H117B 2023-03-03 H1 17 B 5 2 10.1
471 65 DPR 4.736533 H17C 2023-03-03 H1 7 C 2 10 9.2
472 65 DPR 4.736533 H225C 2023-03-03 H2 25 C 2 6 7.6
473 65 DPR 4.736533 J16B 2023-03-03 J1 6 B 6 10 4.5
474 65 DPR 4.736533 J232B 2023-03-03 J2 32 B 6 11 4.4
475 65 DPR 4.736533 L237B 2023-03-03 L2 37 B 6 3 5.1
476 66 CC 4.660378 <NA> <NA> <NA> NA <NA> <NA> NA NA
477 66 BH 4.384649 <NA> <NA> <NA> NA <NA> <NA> NA NA
478 66 DPR 4.879122 <NA> <NA> <NA> NA <NA> <NA> NA NA
479 67 CC 4.277645 <NA> <NA> <NA> NA <NA> <NA> NA NA
480 67 BH 4.488445 <NA> <NA> <NA> NA <NA> <NA> NA NA
481 67 DPR 4.811689 <NA> <NA> <NA> NA <NA> <NA> NA NA
482 68 CC 4.651261 <NA> <NA> <NA> NA <NA> <NA> NA NA
483 68 BH 4.447075 <NA> <NA> <NA> NA <NA> <NA> NA NA
484 68 DPR 4.790984 <NA> <NA> <NA> NA <NA> <NA> NA NA
485 69 CC 4.739512 <NA> <NA> <NA> NA <NA> <NA> NA NA
486 69 BH 4.300966 <NA> <NA> <NA> NA <NA> <NA> NA NA
487 69 DPR 4.844630 <NA> <NA> <NA> NA <NA> <NA> NA NA
488 70 CC 4.554620 <NA> <NA> <NA> NA <NA> <NA> NA NA
489 70 BH 4.711490 <NA> <NA> <NA> NA <NA> <NA> NA NA
490 70 DPR 4.854102 <NA> <NA> <NA> NA <NA> <NA> NA NA
491 71 CC 4.995747 <NA> <NA> <NA> NA <NA> <NA> NA NA
492 71 BH 4.681415 <NA> <NA> <NA> NA <NA> <NA> NA NA
493 71 DPR 5.132187 <NA> <NA> <NA> NA <NA> <NA> NA NA
494 72 CC 5.033053 <NA> <NA> <NA> NA <NA> <NA> NA NA
495 72 BH 4.651304 <NA> <NA> <NA> NA <NA> <NA> NA NA
496 72 DPR 5.225125 <NA> <NA> <NA> NA <NA> <NA> NA NA
497 73 CC 4.767084 <NA> <NA> <NA> NA <NA> <NA> NA NA
498 73 BH 4.583107 <NA> <NA> <NA> NA <NA> <NA> NA NA
499 73 DPR 5.715111 <NA> <NA> <NA> NA <NA> <NA> NA NA
500 74 CC 5.125809 <NA> <NA> <NA> NA <NA> <NA> NA NA
501 74 BH 4.658222 <NA> <NA> <NA> NA <NA> <NA> NA NA
502 74 DPR 5.689894 <NA> <NA> <NA> NA <NA> <NA> NA NA
503 75 CC 5.347350 <NA> <NA> <NA> NA <NA> <NA> NA NA
504 75 BH 5.144128 <NA> <NA> <NA> NA <NA> <NA> NA NA
505 75 DPR 5.774754 <NA> <NA> <NA> NA <NA> <NA> NA NA
506 76 CC 5.281839 <NA> <NA> <NA> NA <NA> <NA> NA NA
507 76 BH 5.167739 <NA> <NA> <NA> NA <NA> <NA> NA NA
508 76 DPR 5.793248 <NA> <NA> <NA> NA <NA> <NA> NA NA
509 77 CC 5.318720 <NA> <NA> <NA> NA <NA> <NA> NA NA
510 77 BH 4.954516 <NA> <NA> <NA> NA <NA> <NA> NA NA
511 77 DPR 6.149467 <NA> <NA> <NA> NA <NA> <NA> NA NA
512 78 CC 5.361921 <NA> <NA> <NA> NA <NA> <NA> NA NA
513 78 BH 5.098174 <NA> <NA> <NA> NA <NA> <NA> NA NA
514 78 DPR 5.955620 <NA> <NA> <NA> NA <NA> <NA> NA NA
515 79 CC 5.349554 D112A 2023-03-17 D1 12 A 7 4 5.4
516 79 CC 5.349554 D239A 2023-03-17 D2 39 A 5 7 3.9
517 79 CC 5.349554 D239B 2023-03-17 D2 39 B 4 5 5.2
518 79 CC 5.349554 F117D 2023-03-17 F1 17 D 3 13 7.2
519 79 CC 5.349554 H111B 2023-03-17 H1 11 B 7 2 12.3
520 79 CC 5.349554 H115B 2023-03-17 H1 15 B 3 3 9.7
521 79 CC 5.349554 H116A 2023-03-17 H1 16 A 4 10 9.1
522 79 CC 5.349554 H234B 2023-03-17 H2 34 B 4 7 3.4
523 79 CC 5.349554 H236C 2023-03-17 H2 36 C 2 1 6.1
524 79 CC 5.349554 J112B 2023-03-17 J1 12 B 4 4 6.3
525 79 CC 5.349554 J236C 2023-03-17 J2 36 C 5 5 7.2
526 79 CC 5.349554 L18A 2023-03-17 L1 8 A 4 6 4.2
527 79 CC 5.349554 L232A 2023-03-17 L2 32 A 5 3 5.9
528 79 CC 5.349554 L117C 2023-03-17 L1 17 C 7 3 5.4
529 79 BH 5.064459 D226B 2023-03-17 D2 26 B 5 15 5.3
530 79 BH 5.064459 D230B 2023-03-17 D2 30 B 4 3 6.1
531 79 BH 5.064459 D233B 2023-03-17 D2 33 B 6 8 5.6
532 79 BH 5.064459 D19C 2023-03-17 D1 9 C 1 8 2.6
533 79 BH 5.064459 D119D 2023-03-17 D1 19 D 5 9 2.1
534 79 BH 5.064459 D229C 2023-03-17 D2 29 C 4 13 4.3
535 79 BH 5.064459 D229D 2023-03-17 D2 29 D 2 9 4.9
536 79 BH 5.064459 D235D 2023-03-17 D2 35 D 3 6 5.3
537 79 BH 5.064459 F115A 2023-03-17 F1 15 A 6 9 8.0
538 79 BH 5.064459 F229B 2023-03-17 F2 29 B 4 5 5.9
539 79 BH 5.064459 F240B 2023-03-17 F2 40 B 5 12 5.1
540 79 BH 5.064459 F15C 2023-03-17 F1 5 C 5 26 3.0
541 79 BH 5.064459 F113C 2023-03-17 F1 13 C 3 7 4.1
542 79 BH 5.064459 F115C 2023-03-17 F1 15 C 4 4 4.5
543 79 BH 5.064459 F235C 2023-03-17 F2 35 C 5 27 5.5
544 79 BH 5.064459 F235D 2023-03-17 F2 35 D 2 1 4.6
545 79 BH 5.064459 H14B 2023-03-17 H1 4 B 2 12 5.5
546 79 BH 5.064459 H18B 2023-03-17 H1 8 B 3 9 6.5
547 79 BH 5.064459 H114A 2023-03-17 H1 14 A 5 3 6.2
548 79 BH 5.064459 H117A 2023-03-17 H1 17 A 4 6 3.6
549 79 BH 5.064459 H118B 2023-03-17 H1 18 B 5 18 5.0
550 79 BH 5.064459 H224B 2023-03-17 H2 24 B 5 29 8.5
551 79 BH 5.064459 H233B 2023-03-17 H2 33 B 4 7 3.5
552 79 BH 5.064459 H239B 2023-03-17 H2 39 B 6 2 4.0
553 79 BH 5.064459 H110C 2023-03-17 H1 10 C 6 11 5.6
554 79 BH 5.064459 H115D 2023-03-17 H1 15 D 5 13 5.6
555 79 BH 5.064459 H119C 2023-03-17 H1 19 C 7 21 6.5
556 79 BH 5.064459 H222D 2023-03-17 H2 22 D 2 3 4.4
557 79 BH 5.064459 H223C 2023-03-17 H2 23 C 7 22 4.9
558 79 BH 5.064459 H235C 2023-03-17 H2 35 C 2 13 4.8
559 79 BH 5.064459 J14B 2023-03-17 J1 4 B 2 4 4.5
560 79 BH 5.064459 J119B 2023-03-17 J1 19 B 3 11 5.3
561 79 BH 5.064459 J233A 2023-03-17 J2 33 A 3 2 4.7
562 79 BH 5.064459 J237B 2023-03-17 J2 37 B 1 7 5.3
563 79 BH 5.064459 J19C 2023-03-17 J1 9 C 5 30 8.9
564 79 BH 5.064459 J110C 2023-03-17 J1 10 C 3 1 3.9
565 79 BH 5.064459 J114D 2023-03-17 J1 14 D 4 8 3.8
566 79 BH 5.064459 J119C 2023-03-17 J1 19 C 5 20 7.1
567 79 BH 5.064459 J223D 2023-03-17 J2 23 D 4 9 5.2
568 79 BH 5.064459 J225D 2023-03-17 J2 25 D 2 5 3.0
569 79 BH 5.064459 J230C 2023-03-17 J2 30 C 4 14 8.3
570 79 BH 5.064459 J231C 2023-03-17 J2 31 C 5 6 9.2
571 79 BH 5.064459 J232D 2023-03-17 J2 32 D 3 12 4.5
572 79 BH 5.064459 L15B 2023-03-17 L1 5 B 2 6 4.2
573 79 BH 5.064459 L110A 2023-03-17 L1 10 A 2 14 2.0
574 79 BH 5.064459 L14D 2023-03-17 L1 4 D 4 10 3.8
575 79 BH 5.064459 L113C 2023-03-17 L1 13 C 3 13 3.6
576 79 BH 5.064459 L113D 2023-03-17 L1 13 D 5 22 6.5
577 79 BH 5.064459 L116C 2023-03-17 L1 16 C 6 5 7.9
578 79 BH 5.064459 L228D 2023-03-17 L2 28 D 2 7 5.1
579 79 BH 5.064459 L229D 2023-03-17 L2 29 D 3 14 3.1
580 79 BH 5.064459 L230C 2023-03-17 L2 30 C 4 11 6.6
581 79 BH 5.064459 L234C 2023-03-17 L2 34 C 5 8 4.9
582 79 BH 5.064459 L240D 2023-03-17 L2 40 D 7 13 6.0
583 79 BH 5.064459 L241D 2023-03-17 L2 41 D 4 1 4.6
584 79 DPR 6.579103 F232A 2023-03-17 F2 32 A 6 2 2.5
585 79 DPR 6.579103 F16C 2023-03-17 F1 6 C 6 9 6.6
586 79 DPR 6.579103 F240C 2023-03-17 F2 40 C 7 4 10.2
587 79 DPR 6.579103 H117B 2023-03-17 H1 17 B 5 2 17.0
588 79 DPR 6.579103 H17C 2023-03-17 H1 7 C 2 10 11.4
589 79 DPR 6.579103 H225C 2023-03-17 H2 25 C 2 6 12.4
590 79 DPR 6.579103 J16B 2023-03-17 J1 6 B 6 10 7.4
591 79 DPR 6.579103 J232B 2023-03-17 J2 32 B 6 11 4.2
592 79 DPR 6.579103 L237B 2023-03-17 L2 37 B 6 3 6.6
593 80 CC 5.606784 <NA> <NA> <NA> NA <NA> <NA> NA NA
594 80 BH 5.363611 <NA> <NA> <NA> NA <NA> <NA> NA NA
595 80 DPR 6.179752 <NA> <NA> <NA> NA <NA> <NA> NA NA
596 81 CC 5.538654 <NA> <NA> <NA> NA <NA> <NA> NA NA
597 81 BH 5.596150 <NA> <NA> <NA> NA <NA> <NA> NA NA
598 81 DPR 6.430337 <NA> <NA> <NA> NA <NA> <NA> NA NA
599 82 CC 5.933472 <NA> <NA> <NA> NA <NA> <NA> NA NA
600 82 BH 5.403504 <NA> <NA> <NA> NA <NA> <NA> NA NA
601 82 DPR 7.131757 <NA> <NA> <NA> NA <NA> <NA> NA NA
602 83 CC 6.285319 <NA> <NA> <NA> NA <NA> <NA> NA NA
603 83 BH 5.997065 <NA> <NA> <NA> NA <NA> <NA> NA NA
604 83 DPR 7.438564 <NA> <NA> <NA> NA <NA> <NA> NA NA
605 84 CC 6.162333 <NA> <NA> <NA> NA <NA> <NA> NA NA
606 84 BH 5.734861 <NA> <NA> <NA> NA <NA> <NA> NA NA
607 84 DPR 7.228672 <NA> <NA> <NA> NA <NA> <NA> NA NA
608 85 CC 6.380242 <NA> <NA> <NA> NA <NA> <NA> NA NA
609 85 BH 5.756146 <NA> <NA> <NA> NA <NA> <NA> NA NA
610 85 DPR 7.325868 <NA> <NA> <NA> NA <NA> <NA> NA NA
611 86 CC 6.527519 D112A 2023-03-24 D1 12 A 7 4 5.5
612 86 CC 6.527519 H111B 2023-03-24 H1 11 B 7 2 12.6
613 86 CC 6.527519 H115B 2023-03-24 H1 15 B 3 3 12.5
614 86 CC 6.527519 H116A 2023-03-24 H1 16 A 4 10 10.1
615 86 CC 6.527519 H234B 2023-03-24 H2 34 B 4 7 3.1
616 86 CC 6.527519 H236C 2023-03-24 H2 36 C 2 1 6.0
617 86 CC 6.527519 J112B 2023-03-24 J1 12 B 4 4 9.8
618 86 CC 6.527519 J236C 2023-03-24 J2 36 C 5 5 7.0
619 86 CC 6.527519 L18A 2023-03-24 L1 8 A 4 6 4.6
620 86 CC 6.527519 L232A 2023-03-24 L2 32 A 5 3 6.3
621 86 CC 6.527519 L117C 2023-03-24 L1 17 C 7 3 5.5
622 86 BH 5.915644 D226B 2023-03-24 D2 26 B 5 15 5.4
623 86 BH 5.915644 D230B 2023-03-24 D2 30 B 4 3 3.3
624 86 BH 5.915644 D233B 2023-03-24 D2 33 B 6 8 3.9
625 86 BH 5.915644 D119D 2023-03-24 D1 19 D 5 9 3.5
626 86 BH 5.915644 D229C 2023-03-24 D2 29 C 4 13 4.8
627 86 BH 5.915644 D229D 2023-03-24 D2 29 D 2 9 6.1
628 86 BH 5.915644 D235D 2023-03-24 D2 35 D 3 6 5.7
629 86 BH 5.915644 F115A 2023-03-24 F1 15 A 6 9 4.5
630 86 BH 5.915644 F229B 2023-03-24 F2 29 B 4 5 5.6
631 86 BH 5.915644 F240B 2023-03-24 F2 40 B 5 12 5.7
632 86 BH 5.915644 F115C 2023-03-24 F1 15 C 4 4 4.9
633 86 BH 5.915644 F235D 2023-03-24 F2 35 D 2 1 5.1
634 86 BH 5.915644 H14B 2023-03-24 H1 4 B 2 12 7.3
635 86 BH 5.915644 H18B 2023-03-24 H1 8 B 3 9 5.4
636 86 BH 5.915644 H114A 2023-03-24 H1 14 A 5 3 7.1
637 86 BH 5.915644 H224B 2023-03-24 H2 24 B 5 29 9.8
638 86 BH 5.915644 H233B 2023-03-24 H2 33 B 4 7 4.5
639 86 BH 5.915644 H110C 2023-03-24 H1 10 C 6 11 8.0
640 86 BH 5.915644 H115D 2023-03-24 H1 15 D 5 13 4.9
641 86 BH 5.915644 H119C 2023-03-24 H1 19 C 7 21 7.0
642 86 BH 5.915644 H222D 2023-03-24 H2 22 D 2 3 5.5
643 86 BH 5.915644 H223C 2023-03-24 H2 23 C 7 22 7.4
644 86 BH 5.915644 H235C 2023-03-24 H2 35 C 2 13 3.8
645 86 BH 5.915644 J14B 2023-03-24 J1 4 B 2 4 3.9
646 86 BH 5.915644 J119B 2023-03-24 J1 19 B 3 11 6.4
647 86 BH 5.915644 J233A 2023-03-24 J2 33 A 3 2 5.9
648 86 BH 5.915644 J237B 2023-03-24 J2 37 B 1 7 7.2
649 86 BH 5.915644 J19C 2023-03-24 J1 9 C 5 30 9.7
650 86 BH 5.915644 J110C 2023-03-24 J1 10 C 3 1 4.5
651 86 BH 5.915644 J119C 2023-03-24 J1 19 C 5 20 7.5
652 86 BH 5.915644 J223D 2023-03-24 J2 23 D 4 9 5.5
653 86 BH 5.915644 J225D 2023-03-24 J2 25 D 2 5 3.0
654 86 BH 5.915644 J230C 2023-03-24 J2 30 C 4 14 8.5
655 86 BH 5.915644 J231D 2023-03-24 J2 31 D 7 14 8.3
656 86 BH 5.915644 J232D 2023-03-24 J2 32 D 3 12 4.8
657 86 BH 5.915644 L15B 2023-03-24 L1 5 B 2 6 4.5
658 86 BH 5.915644 L110A 2023-03-24 L1 10 A 2 14 3.1
659 86 BH 5.915644 L14D 2023-03-24 L1 4 D 4 10 4.1
660 86 BH 5.915644 L113C 2023-03-24 L1 13 C 3 13 2.8
661 86 BH 5.915644 L113D 2023-03-24 L1 13 D 5 22 6.5
662 86 BH 5.915644 L228D 2023-03-24 L2 28 D 2 7 5.5
663 86 BH 5.915644 L229D 2023-03-24 L2 29 D 3 14 3.3
664 86 BH 5.915644 L230C 2023-03-24 L2 30 C 4 11 5.1
665 86 BH 5.915644 L240D 2023-03-24 L2 40 D 7 13 5.3
666 86 BH 5.915644 L241D 2023-03-24 L2 41 D 4 1 4.7
667 86 DPR 7.605860 F16C 2023-03-24 F1 6 C 6 9 9.1
668 86 DPR 7.605860 F240C 2023-03-24 F2 40 C 7 4 15.4
669 86 DPR 7.605860 H117B 2023-03-24 H1 17 B 5 2 21.7
670 86 DPR 7.605860 H17C 2023-03-24 H1 7 C 2 10 12.5
671 86 DPR 7.605860 H225C 2023-03-24 H2 25 C 2 6 18.4
672 86 DPR 7.605860 J16B 2023-03-24 J1 6 B 6 10 10.8
673 86 DPR 7.605860 J232B 2023-03-24 J2 32 B 6 11 4.4
674 86 DPR 7.605860 L237B 2023-03-24 L2 37 B 6 3 6.4
675 87 CC 6.267302 <NA> <NA> <NA> NA <NA> <NA> NA NA
676 87 BH 6.294268 <NA> <NA> <NA> NA <NA> <NA> NA NA
677 87 DPR 7.845873 <NA> <NA> <NA> NA <NA> <NA> NA NA
678 88 CC 6.765548 <NA> <NA> <NA> NA <NA> <NA> NA NA
679 88 BH 6.397516 <NA> <NA> <NA> NA <NA> <NA> NA NA
680 88 DPR 8.340253 <NA> <NA> <NA> NA <NA> <NA> NA NA
681 89 CC 7.029745 <NA> <NA> <NA> NA <NA> <NA> NA NA
682 89 BH 6.552121 <NA> <NA> <NA> NA <NA> <NA> NA NA
683 89 DPR 8.108301 <NA> <NA> <NA> NA <NA> <NA> NA NA
684 90 CC 7.464191 <NA> <NA> <NA> NA <NA> <NA> NA NA
685 90 BH 6.812045 <NA> <NA> <NA> NA <NA> <NA> NA NA
686 90 DPR 8.834702 <NA> <NA> <NA> NA <NA> <NA> NA NA
687 91 CC 7.212695 <NA> <NA> <NA> NA <NA> <NA> NA NA
688 91 BH 7.195063 <NA> <NA> <NA> NA <NA> <NA> NA NA
689 91 DPR 9.130418 <NA> <NA> <NA> NA <NA> <NA> NA NA
690 92 CC 7.721921 <NA> <NA> <NA> NA <NA> <NA> NA NA
691 92 BH 7.404194 <NA> <NA> <NA> NA <NA> <NA> NA NA
692 92 DPR 9.032402 <NA> <NA> <NA> NA <NA> <NA> NA NA
693 93 CC 7.563499 <NA> <NA> <NA> NA <NA> <NA> NA NA
694 93 BH 7.307661 <NA> <NA> <NA> NA <NA> <NA> NA NA
695 93 DPR 10.014005 <NA> <NA> <NA> NA <NA> <NA> NA NA
696 94 CC 8.316324 <NA> <NA> <NA> NA <NA> <NA> NA NA
697 94 BH 7.682902 <NA> <NA> <NA> NA <NA> <NA> NA NA
698 94 DPR 10.302948 <NA> <NA> <NA> NA <NA> <NA> NA NA
699 95 CC 8.084118 <NA> <NA> <NA> NA <NA> <NA> NA NA
700 95 BH 7.805063 <NA> <NA> <NA> NA <NA> <NA> NA NA
701 95 DPR 10.633471 <NA> <NA> <NA> NA <NA> <NA> NA NA
702 96 CC 8.731825 H111B 2023-04-03 H1 11 B 7 2 12.1
703 96 CC 8.731825 H115B 2023-04-03 H1 15 B 3 3 14.9
704 96 CC 8.731825 H116A 2023-04-03 H1 16 A 4 10 10.2
705 96 CC 8.731825 J112B 2023-04-03 J1 12 B 4 4 7.5
706 96 CC 8.731825 J236C 2023-04-03 J2 36 C 5 5 8.3
707 96 CC 8.731825 L117C 2023-04-03 L1 17 C 7 3 6.2
708 96 BH 8.417732 D226B 2023-04-03 D2 26 B 5 15 4.9
709 96 BH 8.417732 D230B 2023-04-03 D2 30 B 4 3 3.8
710 96 BH 8.417732 D119D 2023-04-03 D1 19 D 5 9 3.2
711 96 BH 8.417732 D229C 2023-04-03 D2 29 C 4 13 4.9
712 96 BH 8.417732 D229D 2023-04-03 D2 29 D 2 9 4.1
713 96 BH 8.417732 D235D 2023-04-03 D2 35 D 3 6 6.6
714 96 BH 8.417732 F115A 2023-04-03 F1 15 A 6 9 9.9
715 96 BH 8.417732 F229B 2023-04-03 F2 29 B 4 5 5.9
716 96 BH 8.417732 F240B 2023-04-03 F2 40 B 5 12 5.6
717 96 BH 8.417732 F115C 2023-04-03 F1 15 C 4 4 5.9
718 96 BH 8.417732 F235D 2023-04-03 F2 35 D 2 1 5.5
719 96 BH 8.417732 H14B 2023-04-03 H1 4 B 2 12 0.7
720 96 BH 8.417732 H18B 2023-04-03 H1 8 B 3 9 7.1
721 96 BH 8.417732 H114A 2023-04-03 H1 14 A 5 3 8.4
722 96 BH 8.417732 H224B 2023-04-03 H2 24 B 5 29 9.4
723 96 BH 8.417732 H233B 2023-04-03 H2 33 B 4 7 4.8
724 96 BH 8.417732 H110C 2023-04-03 H1 10 C 6 11 10.6
725 96 BH 8.417732 H119C 2023-04-03 H1 19 C 7 21 6.5
726 96 BH 8.417732 H223C 2023-04-03 H2 23 C 7 22 8.4
727 96 BH 8.417732 H235C 2023-04-03 H2 35 C 2 13 3.8
728 96 BH 8.417732 J14B 2023-04-03 J1 4 B 2 4 5.1
729 96 BH 8.417732 J119B 2023-04-03 J1 19 B 3 11 5.9
730 96 BH 8.417732 J233A 2023-04-03 J2 33 A 3 2 5.8
731 96 BH 8.417732 J237B 2023-04-03 J2 37 B 1 7 4.4
732 96 BH 8.417732 J19C 2023-04-03 J1 9 C 5 30 10.2
733 96 BH 8.417732 J110C 2023-04-03 J1 10 C 3 1 5.1
734 96 BH 8.417732 J119C 2023-04-03 J1 19 C 5 20 10.1
735 96 BH 8.417732 J223D 2023-04-03 J2 23 D 4 9 5.7
736 96 BH 8.417732 J225D 2023-04-03 J2 25 D 2 5 6.3
737 96 BH 8.417732 J230C 2023-04-03 J2 30 C 4 14 9.4
738 96 BH 8.417732 J231D 2023-04-03 J2 31 D 7 14 12.1
739 96 BH 8.417732 J232D 2023-04-03 J2 32 D 3 12 5.2
740 96 BH 8.417732 L15B 2023-04-03 L1 5 B 2 6 3.9
741 96 BH 8.417732 L110A 2023-04-03 L1 10 A 2 14 3.6
742 96 BH 8.417732 L14D 2023-04-03 L1 4 D 4 10 7.1
743 96 BH 8.417732 L113C 2023-04-03 L1 13 C 3 13 3.6
744 96 BH 8.417732 L113D 2023-04-03 L1 13 D 5 22 7.3
745 96 BH 8.417732 L228D 2023-04-03 L2 28 D 2 7 7.1
746 96 BH 8.417732 L229D 2023-04-03 L2 29 D 3 14 4.1
747 96 BH 8.417732 L230C 2023-04-03 L2 30 C 4 11 4.3
748 96 BH 8.417732 L240D 2023-04-03 L2 40 D 7 13 6.6
749 96 BH 8.417732 L241D 2023-04-03 L2 41 D 4 1 5.8
750 96 DPR 11.182425 F16C 2023-04-03 F1 6 C 6 9 15.4
751 96 DPR 11.182425 F240C 2023-04-03 F2 40 C 7 4 22.5
752 96 DPR 11.182425 H117B 2023-04-03 H1 17 B 5 2 25.9
753 96 DPR 11.182425 H17C 2023-04-03 H1 7 C 2 10 13.3
754 96 DPR 11.182425 H225C 2023-04-03 H2 25 C 2 6 27.7
755 97 CC 8.836426 <NA> <NA> <NA> NA <NA> <NA> NA NA
756 97 BH 8.288714 <NA> <NA> <NA> NA <NA> <NA> NA NA
757 97 DPR 11.757594 <NA> <NA> <NA> NA <NA> <NA> NA NA
758 98 CC 9.267155 <NA> <NA> <NA> NA <NA> <NA> NA NA
759 98 BH 8.162741 <NA> <NA> <NA> NA <NA> <NA> NA NA
760 98 DPR 11.918344 <NA> <NA> <NA> NA <NA> <NA> NA NA
761 99 CC 9.435969 <NA> <NA> <NA> NA <NA> <NA> NA NA
762 99 BH 8.967746 <NA> <NA> <NA> NA <NA> <NA> NA NA
763 99 DPR 12.570296 <NA> <NA> <NA> NA <NA> <NA> NA NA
764 100 CC 9.755982 <NA> <NA> <NA> NA <NA> <NA> NA NA
765 100 BH 8.901483 <NA> <NA> <NA> NA <NA> <NA> NA NA
766 100 DPR 13.015052 <NA> <NA> <NA> NA <NA> <NA> NA NA
767 101 CC 10.426101 <NA> <NA> <NA> NA <NA> <NA> NA NA
768 101 BH 9.321250 <NA> <NA> <NA> NA <NA> <NA> NA NA
769 101 DPR 13.644455 <NA> <NA> <NA> NA <NA> <NA> NA NA
770 102 CC 10.538790 <NA> <NA> <NA> NA <NA> <NA> NA NA
771 102 BH 9.562548 <NA> <NA> <NA> NA <NA> <NA> NA NA
772 102 DPR 13.952632 <NA> <NA> <NA> NA <NA> <NA> NA NA
773 103 CC 11.008650 H111B 2023-04-10 H1 11 B 7 2 16.2
774 103 CC 11.008650 H115B 2023-04-10 H1 15 B 3 3 23.8
775 103 CC 11.008650 H116A 2023-04-10 H1 16 A 4 10 12.3
776 103 CC 11.008650 J112B 2023-04-10 J1 12 B 4 4 10.1
777 103 CC 11.008650 J236C 2023-04-10 J2 36 C 5 5 5.9
778 103 BH 10.021828 D226B 2023-04-10 D2 26 B 5 15 5.7
779 103 BH 10.021828 D230B 2023-04-10 D2 30 B 4 3 6.8
780 103 BH 10.021828 D119D 2023-04-10 D1 19 D 5 9 3.6
781 103 BH 10.021828 D229C 2023-04-10 D2 29 C 4 13 5.8
782 103 BH 10.021828 D229D 2023-04-10 D2 29 D 2 9 4.3
783 103 BH 10.021828 D235D 2023-04-10 D2 35 D 3 6 8.4
784 103 BH 10.021828 F115A 2023-04-10 F1 15 A 6 9 17.4
785 103 BH 10.021828 F229B 2023-04-10 F2 29 B 4 5 7.2
786 103 BH 10.021828 F240B 2023-04-10 F2 40 B 5 12 6.6
787 103 BH 10.021828 F115C 2023-04-10 F1 15 C 4 4 5.5
788 103 BH 10.021828 F235D 2023-04-10 F2 35 D 2 1 5.7
789 103 BH 10.021828 H14B 2023-04-10 H1 4 B 2 12 6.1
790 103 BH 10.021828 H18B 2023-04-10 H1 8 B 3 9 8.8
791 103 BH 10.021828 H114A 2023-04-10 H1 14 A 5 3 12.3
792 103 BH 10.021828 H224B 2023-04-10 H2 24 B 5 29 13.4
793 103 BH 10.021828 H233B 2023-04-10 H2 33 B 4 7 5.7
794 103 BH 10.021828 H110C 2023-04-10 H1 10 C 6 11 13.2
795 103 BH 10.021828 H119C 2023-04-10 H1 19 C 7 21 5.1
796 103 BH 10.021828 H223C 2023-04-10 H2 23 C 7 22 8.6
797 103 BH 10.021828 H235C 2023-04-10 H2 35 C 2 13 3.9
798 103 BH 10.021828 J14B 2023-04-10 J1 4 B 2 4 6.0
799 103 BH 10.021828 J119B 2023-04-10 J1 19 B 3 11 6.9
800 103 BH 10.021828 J233A 2023-04-10 J2 33 A 3 2 6.4
801 103 BH 10.021828 J237B 2023-04-10 J2 37 B 1 7 12.2
802 103 BH 10.021828 J19C 2023-04-10 J1 9 C 5 30 8.5
803 103 BH 10.021828 J110C 2023-04-10 J1 10 C 3 1 7.0
804 103 BH 10.021828 J119C 2023-04-10 J1 19 C 5 20 11.4
805 103 BH 10.021828 J225D 2023-04-10 J2 25 D 2 5 7.7
806 103 BH 10.021828 J230C 2023-04-10 J2 30 C 4 14 9.0
807 103 BH 10.021828 J231D 2023-04-10 J2 31 D 7 14 10.2
808 103 BH 10.021828 J232D 2023-04-10 J2 32 D 3 12 6.0
809 103 BH 10.021828 L110A 2023-04-10 L1 10 A 2 14 2.1
810 103 BH 10.021828 L14D 2023-04-10 L1 4 D 4 10 4.1
811 103 BH 10.021828 L113C 2023-04-10 L1 13 C 3 13 2.5
812 103 BH 10.021828 L113D 2023-04-10 L1 13 D 5 22 9.0
813 103 BH 10.021828 L228D 2023-04-10 L2 28 D 2 7 6.3
814 103 BH 10.021828 L229D 2023-04-10 L2 29 D 3 14 3.6
815 103 BH 10.021828 L240D 2023-04-10 L2 40 D 7 13 8.4
816 103 BH 10.021828 L241D 2023-04-10 L2 41 D 4 1 4.4
817 103 DPR 14.575802 F16C 2023-04-10 F1 6 C 6 9 16.6
818 103 DPR 14.575802 H117B 2023-04-10 H1 17 B 5 2 38.2
819 103 DPR 14.575802 H225C 2023-04-10 H2 25 C 2 6 37.4
820 103 DPR 14.575802 J16B 2023-04-10 J1 6 B 6 10 23.6
821 104 CC 11.508182 <NA> <NA> <NA> NA <NA> <NA> NA NA
822 104 BH 10.489636 <NA> <NA> <NA> NA <NA> <NA> NA NA
823 104 DPR 15.313637 <NA> <NA> <NA> NA <NA> <NA> NA NA
824 105 CC 11.898376 <NA> <NA> <NA> NA <NA> <NA> NA NA
825 105 BH 10.626219 <NA> <NA> <NA> NA <NA> <NA> NA NA
826 105 DPR 15.851956 <NA> <NA> <NA> NA <NA> <NA> NA NA
827 106 CC 12.479055 <NA> <NA> <NA> NA <NA> <NA> NA NA
828 106 BH 11.074797 <NA> <NA> <NA> NA <NA> <NA> NA NA
829 106 DPR 16.422490 <NA> <NA> <NA> NA <NA> <NA> NA NA
830 107 CC 12.644022 <NA> <NA> <NA> NA <NA> <NA> NA NA
831 107 BH 11.206877 <NA> <NA> <NA> NA <NA> <NA> NA NA
832 107 DPR 16.782215 <NA> <NA> <NA> NA <NA> <NA> NA NA
833 108 CC 13.268446 <NA> <NA> <NA> NA <NA> <NA> NA NA
834 108 BH 11.353314 <NA> <NA> <NA> NA <NA> <NA> NA NA
835 108 DPR 17.731581 <NA> <NA> <NA> NA <NA> <NA> NA NA
836 109 CC 13.168846 <NA> <NA> <NA> NA <NA> <NA> NA NA
837 109 BH 12.387764 <NA> <NA> <NA> NA <NA> <NA> NA NA
838 109 DPR 18.272415 <NA> <NA> <NA> NA <NA> <NA> NA NA
839 110 CC 13.816665 H111B 2023-04-17 H1 11 B 7 2 14.4
840 110 CC 13.816665 H115B 2023-04-17 H1 15 B 3 3 32.6
841 110 CC 13.816665 H116A 2023-04-17 H1 16 A 4 10 15.1
842 110 CC 13.816665 J112B 2023-04-17 J1 12 B 4 4 9.0
843 110 BH 12.390678 D226B 2023-04-17 D2 26 B 5 15 7.9
844 110 BH 12.390678 D230B 2023-04-17 D2 30 B 4 3 8.1
845 110 BH 12.390678 D119D 2023-04-17 D1 19 D 5 9 3.3
846 110 BH 12.390678 D229C 2023-04-17 D2 29 C 4 13 6.8
847 110 BH 12.390678 D229D 2023-04-17 D2 29 D 2 9 7.1
848 110 BH 12.390678 D235D 2023-04-17 D2 35 D 3 6 10.2
849 110 BH 12.390678 F115A 2023-04-17 F1 15 A 6 9 22.9
850 110 BH 12.390678 F229B 2023-04-17 F2 29 B 4 5 8.2
851 110 BH 12.390678 F240B 2023-04-17 F2 40 B 5 12 8.0
852 110 BH 12.390678 F235D 2023-04-17 F2 35 D 2 1 7.3
853 110 BH 12.390678 H14B 2023-04-17 H1 4 B 2 12 11.4
854 110 BH 12.390678 H18B 2023-04-17 H1 8 B 3 9 15.2
855 110 BH 12.390678 H114A 2023-04-17 H1 14 A 5 3 13.1
856 110 BH 12.390678 H224B 2023-04-17 H2 24 B 5 29 19.2
857 110 BH 12.390678 H233B 2023-04-17 H2 33 B 4 7 6.2
858 110 BH 12.390678 H110C 2023-04-17 H1 10 C 6 11 18.3
859 110 BH 12.390678 H223C 2023-04-17 H2 23 C 7 22 11.8
860 110 BH 12.390678 J14B 2023-04-17 J1 4 B 2 4 12.9
861 110 BH 12.390678 J119B 2023-04-17 J1 19 B 3 11 12.0
862 110 BH 12.390678 J233A 2023-04-17 J2 33 A 3 2 9.0
863 110 BH 12.390678 J237B 2023-04-17 J2 37 B 1 7 18.4
864 110 BH 12.390678 J19C 2023-04-17 J1 9 C 5 30 9.8
865 110 BH 12.390678 J110C 2023-04-17 J1 10 C 3 1 13.4
866 110 BH 12.390678 J119C 2023-04-17 J1 19 C 5 20 18.4
867 110 BH 12.390678 J223D 2023-04-17 J2 23 D 4 9 6.1
868 110 BH 12.390678 J225D 2023-04-17 J2 25 D 2 5 8.8
869 110 BH 12.390678 J230C 2023-04-17 J2 30 C 4 14 13.1
870 110 BH 12.390678 J231D 2023-04-17 J2 31 D 7 14 11.2
871 110 BH 12.390678 J232D 2023-04-17 J2 32 D 3 12 10.8
872 110 BH 12.390678 L110A 2023-04-17 L1 10 A 2 14 11.1
873 110 BH 12.390678 L14D 2023-04-17 L1 4 D 4 10 14.4
874 110 BH 12.390678 L113C 2023-04-17 L1 13 C 3 13 16.0
875 110 BH 12.390678 L113D 2023-04-17 L1 13 D 5 22 12.4
876 110 BH 12.390678 L228D 2023-04-17 L2 28 D 2 7 7.1
877 110 BH 12.390678 L229D 2023-04-17 L2 29 D 3 14 5.6
878 110 BH 12.390678 L240D 2023-04-17 L2 40 D 7 13 11.8
879 110 BH 12.390678 L241D 2023-04-17 L2 41 D 4 1 6.9
880 110 DPR 19.242244 F16C 2023-04-17 F1 6 C 6 9 16.1
881 110 DPR 19.242244 H117B 2023-04-17 H1 17 B 5 2 42.7
882 110 DPR 19.242244 H225C 2023-04-17 H2 25 C 2 6 36.2
883 110 DPR 19.242244 J16B 2023-04-17 J1 6 B 6 10 24.5
884 111 CC 14.880424 <NA> <NA> <NA> NA <NA> <NA> NA NA
885 111 BH 12.881263 <NA> <NA> <NA> NA <NA> <NA> NA NA
886 111 DPR 19.837310 <NA> <NA> <NA> NA <NA> <NA> NA NA
887 112 CC 15.068294 <NA> <NA> <NA> NA <NA> <NA> NA NA
888 112 BH 13.266819 <NA> <NA> <NA> NA <NA> <NA> NA NA
889 112 DPR 21.195502 <NA> <NA> <NA> NA <NA> <NA> NA NA
890 113 CC 15.417283 <NA> <NA> <NA> NA <NA> <NA> NA NA
891 113 BH 13.784213 <NA> <NA> <NA> NA <NA> <NA> NA NA
892 113 DPR 21.746087 <NA> <NA> <NA> NA <NA> <NA> NA NA
893 114 CC 16.159700 <NA> <NA> <NA> NA <NA> <NA> NA NA
894 114 BH 14.229887 <NA> <NA> <NA> NA <NA> <NA> NA NA
895 114 DPR 22.785871 <NA> <NA> <NA> NA <NA> <NA> NA NA
896 115 CC 16.944652 <NA> <NA> <NA> NA <NA> <NA> NA NA
897 115 BH 14.995171 <NA> <NA> <NA> NA <NA> <NA> NA NA
898 115 DPR 23.644658 <NA> <NA> <NA> NA <NA> <NA> NA NA
899 116 CC 17.345762 <NA> <NA> <NA> NA <NA> <NA> NA NA
900 116 BH 15.547021 <NA> <NA> <NA> NA <NA> <NA> NA NA
901 116 DPR 24.884839 <NA> <NA> <NA> NA <NA> <NA> NA NA
902 117 CC 17.804378 H111B 2023-04-24 H1 11 B 7 2 27.1
903 117 CC 17.804378 H115B 2023-04-24 H1 15 B 3 3 37.0
904 117 CC 17.804378 H116A 2023-04-24 H1 16 A 4 10 15.9
905 117 BH 15.891774 D226B 2023-04-24 D2 26 B 5 15 15.9
906 117 BH 15.891774 D230B 2023-04-24 D2 30 B 4 3 12.6
907 117 BH 15.891774 D119D 2023-04-24 D1 19 D 5 9 2.1
908 117 BH 15.891774 D229C 2023-04-24 D2 29 C 4 13 8.1
909 117 BH 15.891774 D229D 2023-04-24 D2 29 D 2 9 10.9
910 117 BH 15.891774 D235D 2023-04-24 D2 35 D 3 6 16.3
911 117 BH 15.891774 F115A 2023-04-24 F1 15 A 6 9 33.1
912 117 BH 15.891774 F229B 2023-04-24 F2 29 B 4 5 9.1
913 117 BH 15.891774 F240B 2023-04-24 F2 40 B 5 12 10.1
914 117 BH 15.891774 F235D 2023-04-24 F2 35 D 2 1 1.8
915 117 BH 15.891774 H14B 2023-04-24 H1 4 B 2 12 14.9
916 117 BH 15.891774 H18B 2023-04-24 H1 8 B 3 9 21.4
917 117 BH 15.891774 H114A 2023-04-24 H1 14 A 5 3 17.5
918 117 BH 15.891774 H224B 2023-04-24 H2 24 B 5 29 28.3
919 117 BH 15.891774 H233B 2023-04-24 H2 33 B 4 7 13.7
920 117 BH 15.891774 H110C 2023-04-24 H1 10 C 6 11 24.4
921 117 BH 15.891774 H223C 2023-04-24 H2 23 C 7 22 12.2
922 117 BH 15.891774 J14B 2023-04-24 J1 4 B 2 4 5.2
923 117 BH 15.891774 J119B 2023-04-24 J1 19 B 3 11 11.9
924 117 BH 15.891774 J233A 2023-04-24 J2 33 A 3 2 7.9
925 117 BH 15.891774 J237B 2023-04-24 J2 37 B 1 7 25.3
926 117 BH 15.891774 J110C 2023-04-24 J1 10 C 3 1 14.8
927 117 BH 15.891774 J119C 2023-04-24 J1 19 C 5 20 28.3
928 117 BH 15.891774 J223D 2023-04-24 J2 23 D 4 9 8.4
929 117 BH 15.891774 J225D 2023-04-24 J2 25 D 2 5 14.1
930 117 BH 15.891774 J230C 2023-04-24 J2 30 C 4 14 15.3
931 117 BH 15.891774 J231D 2023-04-24 J2 31 D 7 14 10.6
932 117 BH 15.891774 J232D 2023-04-24 J2 32 D 3 12 19.2
933 117 BH 15.891774 L110A 2023-04-24 L1 10 A 2 14 14.4
934 117 BH 15.891774 L14D 2023-04-24 L1 4 D 4 10 20.6
935 117 BH 15.891774 L113C 2023-04-24 L1 13 C 3 13 27.7
936 117 BH 15.891774 L113D 2023-04-24 L1 13 D 5 22 17.5
937 117 BH 15.891774 L228D 2023-04-24 L2 28 D 2 7 6.9
938 117 BH 15.891774 L229D 2023-04-24 L2 29 D 3 14 11.8
939 117 BH 15.891774 L240D 2023-04-24 L2 40 D 7 13 14.1
940 117 BH 15.891774 L241D 2023-04-24 L2 41 D 4 1 12.3
941 117 DPR 25.382756 F16C 2023-04-24 F1 6 C 6 9 16.0
942 117 DPR 25.382756 H117B 2023-04-24 H1 17 B 5 2 42.3
943 117 DPR 25.382756 H225C 2023-04-24 H2 25 C 2 6 36.1
944 117 DPR 25.382756 J16B 2023-04-24 J1 6 B 6 10 26.7
945 118 CC 18.755423 <NA> <NA> <NA> NA <NA> <NA> NA NA
946 118 BH 16.526043 <NA> <NA> <NA> NA <NA> <NA> NA NA
947 118 DPR 26.452630 <NA> <NA> <NA> NA <NA> <NA> NA NA
948 119 CC 18.918602 <NA> <NA> <NA> NA <NA> <NA> NA NA
949 119 BH 17.068545 <NA> <NA> <NA> NA <NA> <NA> NA NA
950 119 DPR 27.590567 <NA> <NA> <NA> NA <NA> <NA> NA NA
951 120 CC 20.082350 <NA> <NA> <NA> NA <NA> <NA> NA NA
952 120 BH 17.496580 <NA> <NA> <NA> NA <NA> <NA> NA NA
953 120 DPR 28.496450 <NA> <NA> <NA> NA <NA> <NA> NA NA
954 121 CC 20.496085 <NA> <NA> <NA> NA <NA> <NA> NA NA
955 121 BH 18.333086 <NA> <NA> <NA> NA <NA> <NA> NA NA
956 121 DPR 29.730818 <NA> <NA> <NA> NA <NA> <NA> NA NA
957 122 CC 21.371723 <NA> <NA> <NA> NA <NA> <NA> NA NA
958 122 BH 19.145254 <NA> <NA> <NA> NA <NA> <NA> NA NA
959 122 DPR 30.742783 <NA> <NA> <NA> NA <NA> <NA> NA NA
960 123 CC 22.219562 <NA> <NA> <NA> NA <NA> <NA> NA NA
961 123 BH 19.626691 <NA> <NA> <NA> NA <NA> <NA> NA NA
962 123 DPR 32.191712 <NA> <NA> <NA> NA <NA> <NA> NA NA
963 124 CC 23.154456 H111B 2023-05-01 H1 11 B 7 2 15.5
964 124 CC 23.154456 H115B 2023-05-01 H1 15 B 3 3 34.7
965 124 CC 23.154456 H116A 2023-05-01 H1 16 A 4 10 13.5
966 124 BH 20.010639 D226B 2023-05-01 D2 26 B 5 15 20.5
967 124 BH 20.010639 D230B 2023-05-01 D2 30 B 4 3 17.2
968 124 BH 20.010639 D119D 2023-05-01 D1 19 D 5 9 3.1
969 124 BH 20.010639 D229C 2023-05-01 D2 29 C 4 13 10.8
970 124 BH 20.010639 D229D 2023-05-01 D2 29 D 2 9 13.1
971 124 BH 20.010639 D235D 2023-05-01 D2 35 D 3 6 3.9
972 124 BH 20.010639 F115A 2023-05-01 F1 15 A 6 9 42.5
973 124 BH 20.010639 F229B 2023-05-01 F2 29 B 4 5 12.5
974 124 BH 20.010639 F240B 2023-05-01 F2 40 B 5 12 16.5
975 124 BH 20.010639 F235D 2023-05-01 F2 35 D 2 1 10.2
976 124 BH 20.010639 H14B 2023-05-01 H1 4 B 2 12 18.6
977 124 BH 20.010639 H18B 2023-05-01 H1 8 B 3 9 30.5
978 124 BH 20.010639 H114A 2023-05-01 H1 14 A 5 3 19.5
979 124 BH 20.010639 H224B 2023-05-01 H2 24 B 5 29 38.4
980 124 BH 20.010639 H233B 2023-05-01 H2 33 B 4 7 19.1
981 124 BH 20.010639 H110C 2023-05-01 H1 10 C 6 11 29.9
982 124 BH 20.010639 H223C 2023-05-01 H2 23 C 7 22 12.1
983 124 BH 20.010639 J14B 2023-05-01 J1 4 B 2 4 11.5
984 124 BH 20.010639 J119B 2023-05-01 J1 19 B 3 11 18.4
985 124 BH 20.010639 J233A 2023-05-01 J2 33 A 3 2 9.5
986 124 BH 20.010639 J237B 2023-05-01 J2 37 B 1 7 33.0
987 124 BH 20.010639 J110C 2023-05-01 J1 10 C 3 1 31.5
988 124 BH 20.010639 J119C 2023-05-01 J1 19 C 5 20 44.3
989 124 BH 20.010639 J223D 2023-05-01 J2 23 D 4 9 10.2
990 124 BH 20.010639 J225D 2023-05-01 J2 25 D 2 5 17.0
991 124 BH 20.010639 J230C 2023-05-01 J2 30 C 4 14 23.5
992 124 BH 20.010639 J231D 2023-05-01 J2 31 D 7 14 10.5
993 124 BH 20.010639 J232D 2023-05-01 J2 32 D 3 12 23.5
994 124 BH 20.010639 L110A 2023-05-01 L1 10 A 2 14 21.0
995 124 BH 20.010639 L14D 2023-05-01 L1 4 D 4 10 24.7
996 124 BH 20.010639 L113C 2023-05-01 L1 13 C 3 13 50.6
997 124 BH 20.010639 L113D 2023-05-01 L1 13 D 5 22 21.1
998 124 BH 20.010639 L228D 2023-05-01 L2 28 D 2 7 7.5
999 124 BH 20.010639 L229D 2023-05-01 L2 29 D 3 14 16.5
1000 124 BH 20.010639 L240D 2023-05-01 L2 40 D 7 13 15.0
1001 124 BH 20.010639 L241D 2023-05-01 L2 41 D 4 1 16.5
1002 124 DPR 33.187743 F16C 2023-05-01 F1 6 C 6 9 17.0
1003 124 DPR 33.187743 H117B 2023-05-01 H1 17 B 5 2 42.4
1004 124 DPR 33.187743 J16B 2023-05-01 J1 6 B 6 10 23.5
1005 125 CC 24.043395 <NA> <NA> <NA> NA <NA> <NA> NA NA
1006 125 BH 20.739748 <NA> <NA> <NA> NA <NA> <NA> NA NA
1007 125 DPR 34.506160 <NA> <NA> <NA> NA <NA> <NA> NA NA
1008 126 CC 24.714385 <NA> <NA> <NA> NA <NA> <NA> NA NA
1009 126 BH 21.679890 <NA> <NA> <NA> NA <NA> <NA> NA NA
1010 126 DPR 35.512855 <NA> <NA> <NA> NA <NA> <NA> NA NA
1011 127 CC 25.573105 <NA> <NA> <NA> NA <NA> <NA> NA NA
1012 127 BH 22.111137 <NA> <NA> <NA> NA <NA> <NA> NA NA
1013 127 DPR 36.744408 <NA> <NA> <NA> NA <NA> <NA> NA NA
1014 128 CC 26.000498 <NA> <NA> <NA> NA <NA> <NA> NA NA
1015 128 BH 23.349049 <NA> <NA> <NA> NA <NA> <NA> NA NA
1016 128 DPR 37.941599 <NA> <NA> <NA> NA <NA> <NA> NA NA
1017 129 CC 27.037045 <NA> <NA> <NA> NA <NA> <NA> NA NA
1018 129 BH 23.860166 <NA> <NA> <NA> NA <NA> <NA> NA NA
1019 129 DPR 39.503336 <NA> <NA> <NA> NA <NA> <NA> NA NA
1020 130 CC 27.967606 <NA> <NA> <NA> NA <NA> <NA> NA NA
1021 130 BH 25.097028 <NA> <NA> <NA> NA <NA> <NA> NA NA
1022 130 DPR 40.693179 <NA> <NA> <NA> NA <NA> <NA> NA NA
1023 131 CC 28.612470 H116A 2023-05-08 H1 16 A 4 10 15.1
1024 131 BH 25.479420 D226B 2023-05-08 D2 26 B 5 15 23.1
1025 131 BH 25.479420 D230B 2023-05-08 D2 30 B 4 3 22.1
1026 131 BH 25.479420 D119D 2023-05-08 D1 19 D 5 9 3.1
1027 131 BH 25.479420 D229C 2023-05-08 D2 29 C 4 13 13.3
1028 131 BH 25.479420 D229D 2023-05-08 D2 29 D 2 9 15.8
1029 131 BH 25.479420 D235D 2023-05-08 D2 35 D 3 6 35.2
1030 131 BH 25.479420 F115A 2023-05-08 F1 15 A 6 9 51.3
1031 131 BH 25.479420 F229B 2023-05-08 F2 29 B 4 5 14.6
1032 131 BH 25.479420 F240B 2023-05-08 F2 40 B 5 12 18.7
1033 131 BH 25.479420 F235D 2023-05-08 F2 35 D 2 1 12.2
1034 131 BH 25.479420 H14B 2023-05-08 H1 4 B 2 12 20.8
1035 131 BH 25.479420 H18B 2023-05-08 H1 8 B 3 9 36.1
1036 131 BH 25.479420 H114A 2023-05-08 H1 14 A 5 3 21.6
1037 131 BH 25.479420 H224B 2023-05-08 H2 24 B 5 29 48.3
1038 131 BH 25.479420 H233B 2023-05-08 H2 33 B 4 7 20.8
1039 131 BH 25.479420 H110C 2023-05-08 H1 10 C 6 11 34.0
1040 131 BH 25.479420 H223C 2023-05-08 H2 23 C 7 22 12.1
1041 131 BH 25.479420 J14B 2023-05-08 J1 4 B 2 4 4.4
1042 131 BH 25.479420 J119B 2023-05-08 J1 19 B 3 11 18.6
1043 131 BH 25.479420 J233A 2023-05-08 J2 33 A 3 2 5.7
1044 131 BH 25.479420 J237B 2023-05-08 J2 37 B 1 7 39.2
1045 131 BH 25.479420 J110C 2023-05-08 J1 10 C 3 1 33.1
1046 131 BH 25.479420 J119C 2023-05-08 J1 19 C 5 20 60.5
1047 131 BH 25.479420 J223D 2023-05-08 J2 23 D 4 9 13.2
1048 131 BH 25.479420 J225D 2023-05-08 J2 25 D 2 5 20.4
1049 131 BH 25.479420 J230C 2023-05-08 J2 30 C 4 14 24.6
1050 131 BH 25.479420 J231D 2023-05-08 J2 31 D 7 14 8.9
1051 131 BH 25.479420 J232D 2023-05-08 J2 32 D 3 12 24.0
1052 131 BH 25.479420 L110A 2023-05-08 L1 10 A 2 14 23.3
1053 131 BH 25.479420 L14D 2023-05-08 L1 4 D 4 10 27.3
1054 131 BH 25.479420 L113C 2023-05-08 L1 13 C 3 13 65.9
1055 131 BH 25.479420 L113D 2023-05-08 L1 13 D 5 22 21.2
1056 131 BH 25.479420 L228D 2023-05-08 L2 28 D 2 7 5.0
1057 131 BH 25.479420 L229D 2023-05-08 L2 29 D 3 14 17.8
1058 131 BH 25.479420 L240D 2023-05-08 L2 40 D 7 13 14.1
1059 131 BH 25.479420 L241D 2023-05-08 L2 41 D 4 1 11.5
1060 131 DPR 42.773905 H117B 2023-05-08 H1 17 B 5 2 42.2
1061 132 CC 30.088978 <NA> <NA> <NA> NA <NA> <NA> NA NA
1062 132 BH 26.186182 <NA> <NA> <NA> NA <NA> <NA> NA NA
1063 132 DPR 43.647173 <NA> <NA> <NA> NA <NA> <NA> NA NA
1064 133 CC 31.196331 <NA> <NA> <NA> NA <NA> <NA> NA NA
1065 133 BH 26.816032 <NA> <NA> <NA> NA <NA> <NA> NA NA
1066 133 DPR 45.194823 <NA> <NA> <NA> NA <NA> <NA> NA NA
1067 134 CC 31.765057 <NA> <NA> <NA> NA <NA> <NA> NA NA
1068 134 BH 27.684059 <NA> <NA> <NA> NA <NA> <NA> NA NA
1069 134 DPR 47.016312 <NA> <NA> <NA> NA <NA> <NA> NA NA
1070 135 CC 32.769783 <NA> <NA> <NA> NA <NA> <NA> NA NA
1071 135 BH 28.603156 <NA> <NA> <NA> NA <NA> <NA> NA NA
1072 135 DPR 48.455928 <NA> <NA> <NA> NA <NA> <NA> NA NA
1073 136 CC 34.377848 <NA> <NA> <NA> NA <NA> <NA> NA NA
1074 136 BH 29.351422 <NA> <NA> <NA> NA <NA> <NA> NA NA
1075 136 DPR 49.585429 <NA> <NA> <NA> NA <NA> <NA> NA NA
1076 137 CC 34.846974 <NA> <NA> <NA> NA <NA> <NA> NA NA
1077 137 BH 30.192838 <NA> <NA> <NA> NA <NA> <NA> NA NA
1078 137 DPR 51.356972 <NA> <NA> <NA> NA <NA> <NA> NA NA
1079 138 CC 36.207839 <NA> <NA> <NA> NA <NA> <NA> NA NA
1080 138 BH 31.171344 <NA> <NA> <NA> NA <NA> <NA> NA NA
1081 138 DPR 52.890046 <NA> <NA> <NA> NA <NA> <NA> NA NA
1082 139 CC 36.894982 <NA> <NA> <NA> NA <NA> <NA> NA NA
1083 139 BH 31.797720 <NA> <NA> <NA> NA <NA> <NA> NA NA
1084 139 DPR 54.586425 <NA> <NA> <NA> NA <NA> <NA> NA NA
1085 140 CC 38.179100 <NA> <NA> <NA> NA <NA> <NA> NA NA
1086 140 BH 33.129145 <NA> <NA> <NA> NA <NA> <NA> NA NA
1087 140 DPR 56.109876 <NA> <NA> <NA> NA <NA> <NA> NA NA
1088 141 CC 39.179105 <NA> <NA> <NA> NA <NA> <NA> NA NA
1089 141 BH 33.856948 <NA> <NA> <NA> NA <NA> <NA> NA NA
1090 141 DPR 57.547399 <NA> <NA> <NA> NA <NA> <NA> NA NA
1091 142 CC 40.066411 <NA> <NA> <NA> NA <NA> <NA> NA NA
1092 142 BH 34.647191 <NA> <NA> <NA> NA <NA> <NA> NA NA
1093 142 DPR 59.137869 <NA> <NA> <NA> NA <NA> <NA> NA NA
1094 143 CC 41.408780 <NA> <NA> <NA> NA <NA> <NA> NA NA
1095 143 BH 35.969600 <NA> <NA> <NA> NA <NA> <NA> NA NA
1096 143 DPR 61.069291 <NA> <NA> <NA> NA <NA> <NA> NA NA
1097 144 CC 42.410637 <NA> <NA> <NA> NA <NA> <NA> NA NA
1098 144 BH 36.518004 <NA> <NA> <NA> NA <NA> <NA> NA NA
1099 144 DPR 62.757482 <NA> <NA> <NA> NA <NA> <NA> NA NA
1100 145 CC 43.255354 <NA> <NA> <NA> NA <NA> <NA> NA NA
1101 145 BH 37.514377 <NA> <NA> <NA> NA <NA> <NA> NA NA
1102 145 DPR 63.820550 <NA> <NA> <NA> NA <NA> <NA> NA NA
1103 146 CC 44.361852 <NA> <NA> <NA> NA <NA> <NA> NA NA
1104 146 BH 38.544644 <NA> <NA> <NA> NA <NA> <NA> NA NA
1105 146 DPR 65.909251 <NA> <NA> <NA> NA <NA> <NA> NA NA
1106 147 CC 45.766500 <NA> <NA> <NA> NA <NA> <NA> NA NA
1107 147 BH 39.135822 <NA> <NA> <NA> NA <NA> <NA> NA NA
1108 147 DPR 67.240561 <NA> <NA> <NA> NA <NA> <NA> NA NA
1109 148 CC 46.641047 <NA> <NA> <NA> NA <NA> <NA> NA NA
1110 148 BH 40.452533 <NA> <NA> <NA> NA <NA> <NA> NA NA
1111 148 DPR 69.318113 <NA> <NA> <NA> NA <NA> <NA> NA NA
1112 149 CC 47.995462 <NA> <NA> <NA> NA <NA> <NA> NA NA
1113 149 BH 41.020525 <NA> <NA> <NA> NA <NA> <NA> NA NA
1114 149 DPR 70.643228 <NA> <NA> <NA> NA <NA> <NA> NA NA
1115 150 CC 48.851410 <NA> <NA> <NA> NA <NA> <NA> NA NA
1116 150 BH 41.902647 <NA> <NA> <NA> NA <NA> <NA> NA NA
1117 150 DPR 72.283466 <NA> <NA> <NA> NA <NA> <NA> NA NA
1118 151 CC 49.380357 <NA> <NA> <NA> NA <NA> <NA> NA NA
1119 151 BH 42.724570 <NA> <NA> <NA> NA <NA> <NA> NA NA
1120 151 DPR 74.147447 <NA> <NA> <NA> NA <NA> <NA> NA NA
1121 152 CC 50.739702 <NA> <NA> <NA> NA <NA> <NA> NA NA
1122 152 BH 44.022608 <NA> <NA> <NA> NA <NA> <NA> NA NA
1123 152 DPR 75.446032 <NA> <NA> <NA> NA <NA> <NA> NA NA
1124 153 CC 52.095573 <NA> <NA> <NA> NA <NA> <NA> NA NA
1125 153 BH 44.791203 <NA> <NA> <NA> NA <NA> <NA> NA NA
1126 153 DPR 76.931500 <NA> <NA> <NA> NA <NA> <NA> NA NA
1127 154 CC 53.059480 <NA> <NA> <NA> NA <NA> <NA> NA NA
1128 154 BH 45.699247 <NA> <NA> <NA> NA <NA> <NA> NA NA
1129 154 DPR 78.687504 <NA> <NA> <NA> NA <NA> <NA> NA NA
1130 155 CC 54.122118 <NA> <NA> <NA> NA <NA> <NA> NA NA
1131 155 BH 46.616206 <NA> <NA> <NA> NA <NA> <NA> NA NA
1132 155 DPR 80.313658 <NA> <NA> <NA> NA <NA> <NA> NA NA
1133 156 CC 55.176722 <NA> <NA> <NA> NA <NA> <NA> NA NA
1134 156 BH 47.448632 <NA> <NA> <NA> NA <NA> <NA> NA NA
1135 156 DPR 81.731053 <NA> <NA> <NA> NA <NA> <NA> NA NA
1136 157 CC 56.206381 <NA> <NA> <NA> NA <NA> <NA> NA NA
1137 157 BH 48.023528 <NA> <NA> <NA> NA <NA> <NA> NA NA
1138 157 DPR 83.232497 <NA> <NA> <NA> NA <NA> <NA> NA NA
1139 158 CC 57.065209 <NA> <NA> <NA> NA <NA> <NA> NA NA
1140 158 BH 49.060973 <NA> <NA> <NA> NA <NA> <NA> NA NA
1141 158 DPR 84.537921 <NA> <NA> <NA> NA <NA> <NA> NA NA
1142 159 CC 57.967421 <NA> <NA> <NA> NA <NA> <NA> NA NA
1143 159 BH 49.686407 D226B 2023-06-05 D2 26 B 5 15 77.4
1144 159 BH 49.686407 D230B 2023-06-05 D2 30 B 4 3 52.1
1145 159 BH 49.686407 D229C 2023-06-05 D2 29 C 4 13 23.7
1146 159 BH 49.686407 D229D 2023-06-05 D2 29 D 2 9 34.5
1147 159 BH 49.686407 D235D 2023-06-05 D2 35 D 3 6 80.5
1148 159 BH 49.686407 F115A 2023-06-05 F1 15 A 6 9 88.9
1149 159 BH 49.686407 F229B 2023-06-05 F2 29 B 4 5 26.3
1150 159 BH 49.686407 F240B 2023-06-05 F2 40 B 5 12 47.0
1151 159 BH 49.686407 F235D 2023-06-05 F2 35 D 2 1 37.5
1152 159 BH 49.686407 H14B 2023-06-05 H1 4 B 2 12 28.2
1153 159 BH 49.686407 H18B 2023-06-05 H1 8 B 3 9 76.1
1154 159 BH 49.686407 H114A 2023-06-05 H1 14 A 5 3 19.9
1155 159 BH 49.686407 H224B 2023-06-05 H2 24 B 5 29 70.8
1156 159 BH 49.686407 H233B 2023-06-05 H2 33 B 4 7 21.1
1157 159 BH 49.686407 H110C 2023-06-05 H1 10 C 6 11 44.8
1158 159 BH 49.686407 J119B 2023-06-05 J1 19 B 3 11 31.9
1159 159 BH 49.686407 J237B 2023-06-05 J2 37 B 1 7 39.9
1160 159 BH 49.686407 J110C 2023-06-05 J1 10 C 3 1 70.0
1161 159 BH 49.686407 J119C 2023-06-05 J1 19 C 5 20 102.4
1162 159 BH 49.686407 J223D 2023-06-05 J2 23 D 4 9 51.4
1163 159 BH 49.686407 J225D 2023-06-05 J2 25 D 2 5 71.0
1164 159 BH 49.686407 J230C 2023-06-05 J2 30 C 4 14 32.3
1165 159 BH 49.686407 J232D 2023-06-05 J2 32 D 3 12 27.8
1166 159 BH 49.686407 L110A 2023-06-05 L1 10 A 2 14 61.7
1167 159 BH 49.686407 L14D 2023-06-05 L1 4 D 4 10 77.6
1168 159 BH 49.686407 L113C 2023-06-05 L1 13 C 3 13 120.6
1169 159 BH 49.686407 L113D 2023-06-05 L1 13 D 5 22 58.9
1170 159 BH 49.686407 L229D 2023-06-05 L2 29 D 3 14 31.4
1171 159 BH 49.686407 L240D 2023-06-05 L2 40 D 7 13 19.7
1172 159 BH 49.686407 L241D 2023-06-05 L2 41 D 4 1 49.4
1173 159 DPR 86.186067 <NA> <NA> <NA> NA <NA> <NA> NA NA
1174 160 CC 59.041226 <NA> <NA> <NA> NA <NA> <NA> NA NA
1175 160 BH 50.350054 <NA> <NA> <NA> NA <NA> <NA> NA NA
1176 160 DPR 87.555664 <NA> <NA> <NA> NA <NA> <NA> NA NA
1177 161 CC 59.742334 <NA> <NA> <NA> NA <NA> <NA> NA NA
1178 161 BH 51.367100 <NA> <NA> <NA> NA <NA> <NA> NA NA
1179 161 DPR 89.345603 <NA> <NA> <NA> NA <NA> <NA> NA NA
1180 162 CC 60.512758 <NA> <NA> <NA> NA <NA> <NA> NA NA
1181 162 BH 52.269627 <NA> <NA> <NA> NA <NA> <NA> NA NA
1182 162 DPR 90.311694 <NA> <NA> <NA> NA <NA> <NA> NA NA
1183 163 CC 61.477930 <NA> <NA> <NA> NA <NA> <NA> NA NA
1184 163 BH 53.101869 <NA> <NA> <NA> NA <NA> <NA> NA NA
1185 163 DPR 91.956132 <NA> <NA> <NA> NA <NA> <NA> NA NA
1186 164 CC 62.601635 <NA> <NA> <NA> NA <NA> <NA> NA NA
1187 164 BH 53.600240 <NA> <NA> <NA> NA <NA> <NA> NA NA
1188 164 DPR 93.283346 <NA> <NA> <NA> NA <NA> <NA> NA NA
1189 165 CC 63.096784 <NA> <NA> <NA> NA <NA> <NA> NA NA
1190 165 BH 53.955111 <NA> <NA> <NA> NA <NA> <NA> NA NA
1191 165 DPR 94.238881 <NA> <NA> <NA> NA <NA> <NA> NA NA
1192 166 CC 63.860656 <NA> <NA> <NA> NA <NA> <NA> NA NA
1193 166 BH 55.152038 <NA> <NA> <NA> NA <NA> <NA> NA NA
1194 166 DPR 95.663059 <NA> <NA> <NA> NA <NA> <NA> NA NA
1195 167 CC 64.749152 <NA> <NA> <NA> NA <NA> <NA> NA NA
1196 167 BH 55.594440 <NA> <NA> <NA> NA <NA> <NA> NA NA
1197 167 DPR 96.819425 <NA> <NA> <NA> NA <NA> <NA> NA NA
1198 168 CC 65.679603 <NA> <NA> <NA> NA <NA> <NA> NA NA
1199 168 BH 56.194431 <NA> <NA> <NA> NA <NA> <NA> NA NA
1200 168 DPR 98.041667 <NA> <NA> <NA> NA <NA> <NA> NA NA
1201 169 CC 65.924640 <NA> <NA> <NA> NA <NA> <NA> NA NA
1202 169 BH 56.886229 <NA> <NA> <NA> NA <NA> <NA> NA NA
1203 169 DPR 99.156191 <NA> <NA> <NA> NA <NA> <NA> NA NA
1204 170 CC 66.847329 <NA> <NA> <NA> NA <NA> <NA> NA NA
1205 170 BH 57.547756 <NA> <NA> <NA> NA <NA> <NA> NA NA
1206 170 DPR 99.976718 <NA> <NA> <NA> NA <NA> <NA> NA NA
1207 171 CC 67.554956 <NA> <NA> <NA> NA <NA> <NA> NA NA
1208 171 BH 57.826521 <NA> <NA> <NA> NA <NA> <NA> NA NA
1209 171 DPR 101.064611 <NA> <NA> <NA> NA <NA> <NA> NA NA
1210 172 CC 68.358637 <NA> <NA> <NA> NA <NA> <NA> NA NA
1211 172 BH 58.454705 <NA> <NA> <NA> NA <NA> <NA> NA NA
1212 172 DPR 101.892991 <NA> <NA> <NA> NA <NA> <NA> NA NA
1213 173 CC 69.080368 <NA> <NA> <NA> NA <NA> <NA> NA NA
1214 173 BH 58.973871 <NA> <NA> <NA> NA <NA> <NA> NA NA
1215 173 DPR 102.847723 <NA> <NA> <NA> NA <NA> <NA> NA NA
1216 174 CC 69.430609 <NA> <NA> <NA> NA <NA> <NA> NA NA
1217 174 BH 59.606107 <NA> <NA> <NA> NA <NA> <NA> NA NA
1218 174 DPR 103.688635 <NA> <NA> <NA> NA <NA> <NA> NA NA
1219 175 CC 69.789069 <NA> <NA> <NA> NA <NA> <NA> NA NA
1220 175 BH 59.810451 <NA> <NA> <NA> NA <NA> <NA> NA NA
1221 175 DPR 104.570287 <NA> <NA> <NA> NA <NA> <NA> NA NA
1222 176 CC 70.640889 <NA> <NA> <NA> NA <NA> <NA> NA NA
1223 176 BH 60.507520 <NA> <NA> <NA> NA <NA> <NA> NA NA
1224 176 DPR 105.639181 <NA> <NA> <NA> NA <NA> <NA> NA NA
1225 177 CC 70.960184 <NA> <NA> <NA> NA <NA> <NA> NA NA
1226 177 BH 60.571807 <NA> <NA> <NA> NA <NA> <NA> NA NA
1227 177 DPR 106.039139 <NA> <NA> <NA> NA <NA> <NA> NA NA
1228 178 CC 71.352954 <NA> <NA> <NA> NA <NA> <NA> NA NA
1229 178 BH 61.017703 <NA> <NA> <NA> NA <NA> <NA> NA NA
1230 178 DPR 106.692398 <NA> <NA> <NA> NA <NA> <NA> NA NA
1231 179 CC 71.624029 <NA> <NA> <NA> NA <NA> <NA> NA NA
1232 179 BH 61.353802 <NA> <NA> <NA> NA <NA> <NA> NA NA
1233 179 DPR 107.253589 <NA> <NA> <NA> NA <NA> <NA> NA NA
1234 180 CC 72.217475 <NA> <NA> <NA> NA <NA> <NA> NA NA
1235 180 BH 61.772673 <NA> <NA> <NA> NA <NA> <NA> NA NA
1236 180 DPR 107.785244 <NA> <NA> <NA> NA <NA> <NA> NA NA
1237 181 CC 72.830166 <NA> <NA> <NA> NA <NA> <NA> NA NA
1238 181 BH 62.252335 <NA> <NA> <NA> NA <NA> <NA> NA NA
1239 181 DPR 108.556509 <NA> <NA> <NA> NA <NA> <NA> NA NA
1240 182 CC 72.873571 <NA> <NA> <NA> NA <NA> <NA> NA NA
1241 182 BH 62.449706 <NA> <NA> <NA> NA <NA> <NA> NA NA
1242 182 DPR 109.040189 <NA> <NA> <NA> NA <NA> <NA> NA NA
1243 183 CC 73.027912 <NA> <NA> <NA> NA <NA> <NA> NA NA
1244 183 BH 62.638459 <NA> <NA> <NA> NA <NA> <NA> NA NA
1245 183 DPR 109.570341 <NA> <NA> <NA> NA <NA> <NA> NA NA
1246 184 CC 73.385856 <NA> <NA> <NA> NA <NA> <NA> NA NA
1247 184 BH 62.537297 <NA> <NA> <NA> NA <NA> <NA> NA NA
1248 184 DPR 110.053257 <NA> <NA> <NA> NA <NA> <NA> NA NA
1249 185 CC 74.004917 <NA> <NA> <NA> NA <NA> <NA> NA NA
1250 185 BH 63.253726 <NA> <NA> <NA> NA <NA> <NA> NA NA
1251 185 DPR 110.318259 <NA> <NA> <NA> NA <NA> <NA> NA NA
1252 186 CC 74.164970 <NA> <NA> <NA> NA <NA> <NA> NA NA
1253 186 BH 63.523171 <NA> <NA> <NA> NA <NA> <NA> NA NA
1254 186 DPR 110.604714 <NA> <NA> <NA> NA <NA> <NA> NA NA
1255 187 CC 74.629540 <NA> <NA> <NA> NA <NA> <NA> NA NA
1256 187 BH 63.677912 D226B 2023-07-03 D2 26 B 5 15 67.4
1257 187 BH 63.677912 D230B 2023-07-03 D2 30 B 4 3 76.3
1258 187 BH 63.677912 D229C 2023-07-03 D2 29 C 4 13 26.9
1259 187 BH 63.677912 D229D 2023-07-03 D2 29 D 2 9 42.7
1260 187 BH 63.677912 D235D 2023-07-03 D2 35 D 3 6 83.2
1261 187 BH 63.677912 F115A 2023-07-03 F1 15 A 6 9 110.4
1262 187 BH 63.677912 F229B 2023-07-03 F2 29 B 4 5 34.3
1263 187 BH 63.677912 F240B 2023-07-03 F2 40 B 5 12 70.9
1264 187 BH 63.677912 F235D 2023-07-03 F2 35 D 2 1 67.8
1265 187 BH 63.677912 H18B 2023-07-03 H1 8 B 3 9 81.6
1266 187 BH 63.677912 H114A 2023-07-03 H1 14 A 5 3 18.7
1267 187 BH 63.677912 H224B 2023-07-03 H2 24 B 5 29 69.0
1268 187 BH 63.677912 H233B 2023-07-03 H2 33 B 4 7 18.0
1269 187 BH 63.677912 H110C 2023-07-03 H1 10 C 6 11 45.1
1270 187 BH 63.677912 J119B 2023-07-03 J1 19 B 3 11 32.1
1271 187 BH 63.677912 J110C 2023-07-03 J1 10 C 3 1 67.0
1272 187 BH 63.677912 J119C 2023-07-03 J1 19 C 5 20 101.0
1273 187 BH 63.677912 J223D 2023-07-03 J2 23 D 4 9 49.0
1274 187 BH 63.677912 J225D 2023-07-03 J2 25 D 2 5 82.0
1275 187 BH 63.677912 J230C 2023-07-03 J2 30 C 4 14 35.0
1276 187 BH 63.677912 J232D 2023-07-03 J2 32 D 3 12 29.0
1277 187 BH 63.677912 L110A 2023-07-03 L1 10 A 2 14 89.5
1278 187 BH 63.677912 L14D 2023-07-03 L1 4 D 4 10 92.5
1279 187 BH 63.677912 L113C 2023-07-03 L1 13 C 3 13 82.0
1280 187 BH 63.677912 L113D 2023-07-03 L1 13 D 5 22 113.0
1281 187 BH 63.677912 L229D 2023-07-03 L2 29 D 3 14 28.0
1282 187 BH 63.677912 L240D 2023-07-03 L2 40 D 7 13 17.0
1283 187 BH 63.677912 L241D 2023-07-03 L2 41 D 4 1 67.5
1284 187 DPR 111.193817 <NA> <NA> <NA> NA <NA> <NA> NA NA
1285 188 CC 74.716680 <NA> <NA> <NA> NA <NA> <NA> NA NA
1286 188 BH 63.795310 <NA> <NA> <NA> NA <NA> <NA> NA NA
1287 188 DPR 111.588816 <NA> <NA> <NA> NA <NA> <NA> NA NA
1288 189 CC 74.964410 <NA> <NA> <NA> NA <NA> <NA> NA NA
1289 189 BH 63.961600 <NA> <NA> <NA> NA <NA> <NA> NA NA
1290 189 DPR 111.543074 <NA> <NA> <NA> NA <NA> <NA> NA NA
1291 190 CC 74.934354 <NA> <NA> <NA> NA <NA> <NA> NA NA
1292 190 BH 64.305275 <NA> <NA> <NA> NA <NA> <NA> NA NA
1293 190 DPR 112.154336 <NA> <NA> <NA> NA <NA> <NA> NA NA
1294 191 CC 75.113608 <NA> <NA> <NA> NA <NA> <NA> NA NA
1295 191 BH 64.426350 <NA> <NA> <NA> NA <NA> <NA> NA NA
1296 191 DPR 112.336997 <NA> <NA> <NA> NA <NA> <NA> NA NA
1297 192 CC 75.304927 <NA> <NA> <NA> NA <NA> <NA> NA NA
1298 192 BH 64.149685 <NA> <NA> <NA> NA <NA> <NA> NA NA
1299 192 DPR 112.480630 <NA> <NA> <NA> NA <NA> <NA> NA NA
1300 193 CC 75.477320 <NA> <NA> <NA> NA <NA> <NA> NA NA
1301 193 BH 64.410890 <NA> <NA> <NA> NA <NA> <NA> NA NA
1302 193 DPR 112.485540 <NA> <NA> <NA> NA <NA> <NA> NA NA
1303 194 CC 75.502619 <NA> <NA> <NA> NA <NA> <NA> NA NA
1304 194 BH 64.589675 D226B 2023-07-10 D2 26 B 5 15 70.0
1305 194 BH 64.589675 D230B 2023-07-10 D2 30 B 4 3 73.0
1306 194 BH 64.589675 D229C 2023-07-10 D2 29 C 4 13 26.5
1307 194 BH 64.589675 D229D 2023-07-10 D2 29 D 2 9 43.0
1308 194 BH 64.589675 D235D 2023-07-10 D2 35 D 3 6 85.8
1309 194 BH 64.589675 F115A 2023-07-10 F1 15 A 6 9 113.2
1310 194 BH 64.589675 F229B 2023-07-10 F2 29 B 4 5 33.2
1311 194 BH 64.589675 F240B 2023-07-10 F2 40 B 5 12 71.6
1312 194 BH 64.589675 F235D 2023-07-10 F2 35 D 2 1 68.1
1313 194 BH 64.589675 H18B 2023-07-10 H1 8 B 3 9 82.2
1314 194 BH 64.589675 H224B 2023-07-10 H2 24 B 5 29 68.1
1315 194 BH 64.589675 H233B 2023-07-10 H2 33 B 4 7 23.5
1316 194 BH 64.589675 J223D 2023-07-10 J2 23 D 4 9 49.6
1317 194 BH 64.589675 J225D 2023-07-10 J2 25 D 2 5 77.0
1318 194 BH 64.589675 J230C 2023-07-10 J2 30 C 4 14 35.1
1319 194 BH 64.589675 J232D 2023-07-10 J2 32 D 3 12 30.5
1320 194 BH 64.589675 L110A 2023-07-10 L1 10 A 2 14 89.4
1321 194 BH 64.589675 L14D 2023-07-10 L1 4 D 4 10 95.6
1322 194 BH 64.589675 L113C 2023-07-10 L1 13 C 3 13 130.0
1323 194 BH 64.589675 L113D 2023-07-10 L1 13 D 5 22 96.1
1324 194 BH 64.589675 L240D 2023-07-10 L2 40 D 7 13 20.1
1325 194 BH 64.589675 L241D 2023-07-10 L2 41 D 4 1 68.4
1326 194 DPR 112.870361 <NA> <NA> <NA> NA <NA> <NA> NA NA
1327 195 CC 75.900135 <NA> <NA> <NA> NA <NA> <NA> NA NA
1328 195 BH 65.126957 <NA> <NA> <NA> NA <NA> <NA> NA NA
1329 195 DPR 113.062818 <NA> <NA> <NA> NA <NA> <NA> NA NA
1330 196 CC 75.796951 <NA> <NA> <NA> NA <NA> <NA> NA NA
1331 196 BH 64.936582 <NA> <NA> <NA> NA <NA> <NA> NA NA
1332 196 DPR 113.094964 <NA> <NA> <NA> NA <NA> <NA> NA NA
1333 197 CC 75.792054 <NA> <NA> <NA> NA <NA> <NA> NA NA
1334 197 BH 64.861278 <NA> <NA> <NA> NA <NA> <NA> NA NA
1335 197 DPR 113.367115 <NA> <NA> <NA> NA <NA> <NA> NA NA
1336 198 CC 76.282401 <NA> <NA> <NA> NA <NA> <NA> NA NA
1337 198 BH 65.414600 <NA> <NA> <NA> NA <NA> <NA> NA NA
1338 198 DPR 113.767564 <NA> <NA> <NA> NA <NA> <NA> NA NA
1339 199 CC 76.029065 <NA> <NA> <NA> NA <NA> <NA> NA NA
1340 199 BH 65.517657 <NA> <NA> <NA> NA <NA> <NA> NA NA
1341 199 DPR 113.718724 <NA> <NA> <NA> NA <NA> <NA> NA NA
1342 200 CC 76.450579 <NA> <NA> <NA> NA <NA> <NA> NA NA
1343 200 BH 65.356284 <NA> <NA> <NA> NA <NA> <NA> NA NA
1344 200 DPR 113.724729 <NA> <NA> <NA> NA <NA> <NA> NA NA
1345 201 CC 76.191903 <NA> <NA> <NA> NA <NA> <NA> NA NA
1346 201 BH 65.556793 D226B 2023-07-17 D2 26 B 5 15 68.2
1347 201 BH 65.556793 D230B 2023-07-17 D2 30 B 4 3 77.8
1348 201 BH 65.556793 D229C 2023-07-17 D2 29 C 4 13 25.7
1349 201 BH 65.556793 D229D 2023-07-17 D2 29 D 2 9 44.2
1350 201 BH 65.556793 D235D 2023-07-17 D2 35 D 3 6 83.6
1351 201 BH 65.556793 F115A 2023-07-17 F1 15 A 6 9 113.2
1352 201 BH 65.556793 F229B 2023-07-17 F2 29 B 4 5 34.3
1353 201 BH 65.556793 F240B 2023-07-17 F2 40 B 5 12 76.3
1354 201 BH 65.556793 F235D 2023-07-17 F2 35 D 2 1 68.8
1355 201 BH 65.556793 H18B 2023-07-17 H1 8 B 3 9 83.7
1356 201 BH 65.556793 H224B 2023-07-17 H2 24 B 5 29 70.3
1357 201 BH 65.556793 H233B 2023-07-17 H2 33 B 4 7 22.9
1358 201 BH 65.556793 J223D 2023-07-17 J2 23 D 4 9 50.8
1359 201 BH 65.556793 J225D 2023-07-17 J2 25 D 2 5 83.5
1360 201 BH 65.556793 J230C 2023-07-17 J2 30 C 4 14 41.6
1361 201 BH 65.556793 J232D 2023-07-17 J2 32 D 3 12 30.7
1362 201 BH 65.556793 L110A 2023-07-17 L1 10 A 2 14 90.0
1363 201 BH 65.556793 L14D 2023-07-17 L1 4 D 4 10 73.2
1364 201 BH 65.556793 L113C 2023-07-17 L1 13 C 3 13 107.6
1365 201 BH 65.556793 L241D 2023-07-17 L2 41 D 4 1 37.4
1366 201 DPR 113.734930 <NA> <NA> <NA> NA <NA> <NA> NA NA
1367 202 CC 76.114244 <NA> <NA> <NA> NA <NA> <NA> NA NA
1368 202 BH 65.319181 <NA> <NA> <NA> NA <NA> <NA> NA NA
1369 202 DPR 114.047121 <NA> <NA> <NA> NA <NA> <NA> NA NA
1370 203 CC 76.552088 <NA> <NA> <NA> NA <NA> <NA> NA NA
1371 203 BH 65.345077 <NA> <NA> <NA> NA <NA> <NA> NA NA
1372 203 DPR 113.826851 <NA> <NA> <NA> NA <NA> <NA> NA NA
1373 204 CC 76.495529 <NA> <NA> <NA> NA <NA> <NA> NA NA
1374 204 BH 65.487241 <NA> <NA> <NA> NA <NA> <NA> NA NA
1375 204 DPR 114.305494 <NA> <NA> <NA> NA <NA> <NA> NA NA
1376 205 CC 76.298265 <NA> <NA> <NA> NA <NA> <NA> NA NA
1377 205 BH 65.516874 <NA> <NA> <NA> NA <NA> <NA> NA NA
1378 205 DPR 113.935431 <NA> <NA> <NA> NA <NA> <NA> NA NA
1379 206 CC 76.456477 <NA> <NA> <NA> NA <NA> <NA> NA NA
1380 206 BH 65.474227 <NA> <NA> <NA> NA <NA> <NA> NA NA
1381 206 DPR 114.302416 <NA> <NA> <NA> NA <NA> <NA> NA NA
1382 207 CC 76.756729 <NA> <NA> <NA> NA <NA> <NA> NA NA
1383 207 BH 65.343369 <NA> <NA> <NA> NA <NA> <NA> NA NA
1384 207 DPR 114.233426 <NA> <NA> <NA> NA <NA> <NA> NA NA
1385 208 CC 76.390575 <NA> <NA> <NA> NA <NA> <NA> NA NA
1386 208 BH 65.351869 D226B 2023-07-24 D2 26 B 5 15 68.8
1387 208 BH 65.351869 D230B 2023-07-24 D2 30 B 4 3 79.3
1388 208 BH 65.351869 D229C 2023-07-24 D2 29 C 4 13 26.4
1389 208 BH 65.351869 D229D 2023-07-24 D2 29 D 2 9 44.8
1390 208 BH 65.351869 D235D 2023-07-24 D2 35 D 3 6 86.0
1391 208 BH 65.351869 F115A 2023-07-24 F1 15 A 6 9 109.9
1392 208 BH 65.351869 F229B 2023-07-24 F2 29 B 4 5 36.2
1393 208 BH 65.351869 F240B 2023-07-24 F2 40 B 5 12 75.1
1394 208 BH 65.351869 F235D 2023-07-24 F2 35 D 2 1 69.3
1395 208 BH 65.351869 H18B 2023-07-24 H1 8 B 3 9 81.7
1396 208 BH 65.351869 H224B 2023-07-24 H2 24 B 5 29 68.5
1397 208 BH 65.351869 H233B 2023-07-24 H2 33 B 4 7 22.8
1398 208 BH 65.351869 J225D 2023-07-24 J2 25 D 2 5 81.5
1399 208 BH 65.351869 J230C 2023-07-24 J2 30 C 4 14 32.8
1400 208 BH 65.351869 J232D 2023-07-24 J2 32 D 3 12 30.2
1401 208 BH 65.351869 L110A 2023-07-24 L1 10 A 2 14 91.2
1402 208 BH 65.351869 L14D 2023-07-24 L1 4 D 4 10 93.3
1403 208 BH 65.351869 L113C 2023-07-24 L1 13 C 3 13 89.8
1404 208 BH 65.351869 L113D 2023-07-24 L1 13 D 5 22 112.1
1405 208 BH 65.351869 L241D 2023-07-24 L2 41 D 4 1 69.6
1406 208 DPR 114.375749 <NA> <NA> <NA> NA <NA> <NA> NA NA
herbivory pred2
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152 <NA> 4.119677
153 <NA> 4.008003
154 <NA> 3.991561
155 Y 4.040298
156 <NA> NA
157 <NA> NA
158 <NA> NA
159 <NA> NA
160 <NA> NA
161 <NA> NA
162 <NA> NA
163 <NA> NA
164 <NA> NA
165 <NA> NA
166 <NA> NA
167 <NA> NA
168 <NA> NA
169 <NA> NA
170 <NA> NA
171 <NA> NA
172 <NA> NA
173 <NA> NA
174 <NA> NA
175 <NA> NA
176 <NA> NA
177 <NA> NA
178 <NA> NA
179 <NA> NA
180 <NA> NA
181 <NA> NA
182 <NA> NA
183 <NA> NA
184 <NA> NA
185 <NA> NA
186 <NA> NA
187 <NA> NA
188 <NA> NA
189 <NA> NA
190 <NA> NA
191 <NA> NA
192 <NA> NA
193 <NA> NA
194 <NA> NA
195 <NA> NA
196 <NA> NA
197 <NA> NA
198 <NA> NA
199 <NA> NA
200 <NA> NA
201 <NA> NA
202 <NA> NA
203 <NA> NA
204 <NA> NA
205 <NA> NA
206 <NA> NA
207 <NA> NA
208 <NA> NA
209 <NA> NA
210 <NA> NA
211 <NA> NA
212 <NA> NA
213 <NA> NA
214 <NA> NA
215 <NA> NA
216 <NA> 3.956034
217 <NA> 4.250841
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219 <NA> 3.849379
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345 <NA> NA
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349 <NA> NA
350 <NA> NA
351 <NA> NA
352 <NA> NA
353 <NA> NA
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355 <NA> NA
356 <NA> NA
357 <NA> NA
358 <NA> NA
359 <NA> NA
360 <NA> NA
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362 <NA> NA
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364 <NA> NA
365 <NA> NA
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374 <NA> NA
375 <NA> NA
376 <NA> NA
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382 <NA> 4.645039
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684 <NA> NA
685 <NA> NA
686 <NA> NA
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699 <NA> NA
700 <NA> NA
701 <NA> NA
702 <NA> 8.741736
703 <NA> 8.353367
704 <NA> 8.723756
705 <NA> 8.336899
706 <NA> 8.729912
707 <NA> 8.546976
708 <NA> 7.808558
709 <NA> 7.822508
710 <NA> 7.860971
711 <NA> 8.002398
712 <NA> 7.525036
713 <NA> 7.773971
714 <NA> 8.423394
715 <NA> 7.935282
716 <NA> 8.067286
717 <NA> 7.720240
718 <NA> 7.942433
719 <NA> 7.908721
720 <NA> 7.939602
721 <NA> 7.874263
722 <NA> 7.898484
723 <NA> 7.924880
724 <NA> 8.034522
725 <NA> 7.547507
726 <NA> 7.878305
727 <NA> 7.809313
728 <NA> 7.756488
729 <NA> 7.997182
730 <NA> 8.268266
731 <NA> 7.919449
732 <NA> 7.708223
733 <NA> 8.066466
734 <NA> 8.077956
735 <NA> 7.800708
736 <NA> 7.811560
737 <NA> 7.689406
738 <NA> 8.129433
739 <NA> 8.026164
740 <NA> 7.914904
741 <NA> 7.781555
742 <NA> 8.029073
743 <NA> 8.180117
744 <NA> 8.158895
745 <NA> 8.047891
746 <NA> 7.537409
747 <NA> 8.060977
748 <NA> 7.808091
749 <NA> 7.822330
750 <NA> 10.987032
751 <NA> 11.127627
752 <NA> 11.350289
753 Y 11.323896
754 <NA> 10.914931
755 <NA> NA
756 <NA> NA
757 <NA> NA
758 <NA> NA
759 <NA> NA
760 <NA> NA
761 <NA> NA
762 <NA> NA
763 <NA> NA
764 <NA> NA
765 <NA> NA
766 <NA> NA
767 <NA> NA
768 <NA> NA
769 <NA> NA
770 <NA> NA
771 <NA> NA
772 <NA> NA
773 <NA> 11.045267
774 <NA> 10.930731
775 <NA> 10.756795
776 <NA> 10.538185
777 <NA> 10.962599
778 <NA> 9.941635
779 <NA> 10.031908
780 <NA> 9.783300
781 <NA> 9.744320
782 Y 9.873110
783 <NA> 9.780779
784 <NA> 9.770609
785 <NA> 10.039914
786 <NA> 10.263066
787 <NA> 9.911083
788 <NA> 9.821457
789 <NA> 9.949486
790 <NA> 9.649868
791 <NA> 10.052981
792 <NA> 9.811011
793 <NA> 9.882549
794 <NA> 9.870599
795 Y 9.967807
796 <NA> 9.609889
797 <NA> 9.934134
798 <NA> 10.066971
799 <NA> 9.820105
800 <NA> 9.523714
801 <NA> 9.899188
802 <NA> 9.639840
803 <NA> 10.110614
804 <NA> 9.959017
805 <NA> 9.747875
806 <NA> 9.998054
807 <NA> 9.857868
808 <NA> 10.213880
809 <NA> 9.779760
810 <NA> 9.912668
811 <NA> 9.779674
812 <NA> 9.864551
813 <NA> 10.043419
814 <NA> 10.000832
815 <NA> 9.690564
816 <NA> 9.669143
817 <NA> 14.603094
818 <NA> 14.634118
819 <NA> 14.453849
820 <NA> 14.679684
821 <NA> NA
822 <NA> NA
823 <NA> NA
824 <NA> NA
825 <NA> NA
826 <NA> NA
827 <NA> NA
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829 <NA> NA
830 <NA> NA
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832 <NA> NA
833 <NA> NA
834 <NA> NA
835 <NA> NA
836 <NA> NA
837 <NA> NA
838 <NA> NA
839 <NA> 14.115381
840 <NA> 13.918731
841 <NA> 14.208390
842 <NA> 13.962165
843 <NA> 12.581319
844 <NA> 12.540335
845 <NA> 12.553030
846 <NA> 12.351847
847 <NA> 12.002117
848 <NA> 12.380310
849 <NA> 12.374347
850 <NA> 12.632744
851 <NA> 12.382552
852 <NA> 12.309866
853 <NA> 12.726592
854 <NA> 12.729922
855 <NA> 12.135058
856 <NA> 12.325014
857 <NA> 12.578090
858 <NA> 12.526711
859 <NA> 12.711437
860 <NA> 12.589215
861 <NA> 12.555437
862 <NA> 12.409455
863 <NA> 12.222346
864 <NA> 12.572187
865 <NA> 12.542645
866 <NA> 12.516587
867 <NA> 12.453451
868 <NA> 12.532166
869 <NA> 12.479528
870 <NA> 12.426055
871 <NA> 12.449242
872 <NA> 12.702289
873 <NA> 12.469210
874 <NA> 12.480333
875 <NA> 12.455870
876 <NA> 12.483776
877 <NA> 12.724485
878 <NA> 12.719261
879 <NA> 12.273399
880 <NA> 19.430770
881 <NA> 19.335687
882 <NA> 19.337160
883 <NA> 19.256395
884 <NA> NA
885 <NA> NA
886 <NA> NA
887 <NA> NA
888 <NA> NA
889 <NA> NA
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891 <NA> NA
892 <NA> NA
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894 <NA> NA
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896 <NA> NA
897 <NA> NA
898 <NA> NA
899 <NA> NA
900 <NA> NA
901 <NA> NA
902 <NA> 18.253644
903 <NA> 17.804625
904 <NA> 17.767766
905 <NA> 15.662985
906 <NA> 15.844135
907 N 15.749529
908 <NA> 15.869989
909 <NA> 15.900161
910 <NA> 15.981030
911 <NA> 15.945625
912 <NA> 16.048468
913 <NA> 15.941699
914 <NA> 15.694985
915 <NA> 15.894896
916 <NA> 15.938810
917 <NA> 16.034355
918 <NA> 15.902064
919 <NA> 15.853825
920 <NA> 16.000820
921 <NA> 16.105806
922 <NA> 15.927681
923 <NA> 15.963269
924 <NA> 15.591900
925 <NA> 16.084805
926 <NA> 15.874943
927 <NA> 16.184136
928 <NA> 15.729415
929 <NA> 15.925902
930 <NA> 16.095084
931 <NA> 15.985796
932 <NA> 16.108695
933 <NA> 16.064907
934 <NA> 16.294609
935 <NA> 15.884684
936 <NA> 15.767750
937 N 15.688354
938 <NA> 16.093076
939 <NA> 15.882409
940 <NA> 16.163009
941 <NA> 25.652379
942 <NA> 25.456939
943 <NA> 25.166923
944 <NA> 25.632342
945 <NA> NA
946 <NA> NA
947 <NA> NA
948 <NA> NA
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957 <NA> NA
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960 <NA> NA
961 <NA> NA
962 <NA> NA
963 <NA> 22.850965
964 <NA> 23.028561
965 <NA> 23.171361
966 <NA> 20.202022
967 <NA> 20.318193
968 <NA> 20.192909
969 <NA> 20.104512
970 <NA> 20.226745
971 Y 20.322474
972 <NA> 20.394543
973 <NA> 20.135689
974 <NA> 20.408189
975 <NA> 20.410134
976 <NA> 20.178404
977 <NA> 20.438999
978 <NA> 20.279600
979 Y 19.800695
980 <NA> 20.236882
981 <NA> 20.515095
982 <NA> 20.153181
983 <NA> 20.222603
984 <NA> 20.051768
985 <NA> 20.119145
986 <NA> 20.126332
987 <NA> 20.248344
988 <NA> 20.332439
989 <NA> 20.123860
990 <NA> 20.072000
991 <NA> 20.260424
992 <NA> 20.311991
993 <NA> 20.068870
994 <NA> 20.460420
995 <NA> 20.214084
996 <NA> 20.239446
997 <NA> 20.310543
998 <NA> 20.188166
999 <NA> 20.468886
1000 <NA> 19.926164
1001 <NA> 20.096924
1002 <NA> 33.166234
1003 <NA> 32.911488
1004 <NA> 33.140779
1005 <NA> NA
1006 <NA> NA
1007 <NA> NA
1008 <NA> NA
1009 <NA> NA
1010 <NA> NA
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1016 <NA> NA
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1020 <NA> NA
1021 <NA> NA
1022 <NA> NA
1023 <NA> 29.758816
1024 <NA> 25.452562
1025 <NA> 25.290039
1026 <NA> 25.431052
1027 <NA> 25.717934
1028 <NA> 25.816319
1029 <NA> 25.449219
1030 <NA> 25.339557
1031 <NA> 25.065208
1032 <NA> 25.297956
1033 <NA> 25.486261
1034 <NA> 25.409989
1035 <NA> 25.610614
1036 <NA> 25.159067
1037 <NA> 25.490181
1038 <NA> 25.573482
1039 <NA> 25.179008
1040 <NA> 25.411708
1041 <NA> 25.415644
1042 <NA> 25.117641
1043 <NA> 25.625072
1044 <NA> 25.485259
1045 <NA> 25.386334
1046 <NA> 25.087733
1047 <NA> 25.342553
1048 <NA> 25.722929
1049 <NA> 25.210836
1050 <NA> 25.507118
1051 <NA> 25.625197
1052 <NA> 25.287765
1053 <NA> 25.428525
1054 <NA> 25.152489
1055 <NA> 25.514673
1056 <NA> 25.190733
1057 <NA> 25.421622
1058 <NA> 25.356321
1059 <NA> 25.553842
1060 <NA> 42.501069
1061 <NA> NA
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1143 <NA> 49.611186
1144 <NA> 50.090009
1145 <NA> 49.668964
1146 <NA> 50.034470
1147 <NA> 49.772706
1148 <NA> 50.226468
1149 <NA> 49.637030
1150 <NA> 49.734929
1151 <NA> 49.641693
1152 <NA> 49.573821
1153 <NA> 49.823789
1154 <NA> 49.462741
1155 <NA> 49.472238
1156 <NA> 49.660685
1157 <NA> 49.786765
1158 <NA> 49.709176
1159 <NA> 49.570911
1160 <NA> 49.591908
1161 <NA> 50.117569
1162 <NA> 49.871700
1163 <NA> 49.693434
1164 <NA> 49.497883
1165 <NA> 49.988336
1166 <NA> 49.824434
1167 <NA> 50.255251
1168 <NA> 49.745790
1169 <NA> 49.767684
1170 <NA> 50.071958
1171 <NA> 49.783756
1172 <NA> 49.652292
1173 <NA> NA
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1256 <NA> 63.819263
1257 <NA> 63.616593
1258 <NA> 63.997405
1259 <NA> 63.912174
1260 <NA> 63.567954
1261 <NA> 63.690182
1262 <NA> 63.804713
1263 <NA> 63.439691
1264 <NA> 63.513517
1265 <NA> 63.899540
1266 <NA> 63.557876
1267 <NA> 63.617638
1268 <NA> 63.952739
1269 <NA> 64.237896
1270 <NA> 63.690648
1271 <NA> 63.590982
1272 <NA> 63.789974
1273 <NA> 63.667381
1274 <NA> 63.472919
1275 <NA> 63.668144
1276 <NA> 63.511648
1277 <NA> 63.747202
1278 <NA> 63.958576
1279 <NA> 63.839727
1280 <NA> 63.745304
1281 <NA> 63.358017
1282 <NA> 63.581919
1283 <NA> 63.068750
1284 <NA> NA
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1304 <NA> 64.749143
1305 <NA> 64.759712
1306 <NA> 64.551668
1307 <NA> 64.669087
1308 <NA> 64.699616
1309 <NA> 64.538542
1310 <NA> 64.531808
1311 <NA> 64.934681
1312 <NA> 64.813888
1313 <NA> 64.629411
1314 <NA> 64.933353
1315 <NA> 64.520234
1316 <NA> 64.964933
1317 <NA> 64.797395
1318 <NA> 64.423291
1319 <NA> 64.343010
1320 <NA> 64.674172
1321 <NA> 64.902631
1322 <NA> 64.669107
1323 <NA> 64.454531
1324 <NA> 64.737150
1325 <NA> 64.436968
1326 <NA> NA
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1346 <NA> 65.064142
1347 <NA> 65.046083
1348 <NA> 65.324325
1349 <NA> 65.021228
1350 <NA> 65.652136
1351 <NA> 65.186478
1352 <NA> 64.843652
1353 <NA> 65.391702
1354 <NA> 65.252309
1355 <NA> 65.329295
1356 <NA> 65.112609
1357 <NA> 65.379202
1358 <NA> 65.030391
1359 <NA> 65.216103
1360 <NA> 65.433353
1361 <NA> 65.435194
1362 <NA> 65.308149
1363 <NA> 65.060312
1364 <NA> 65.210076
1365 <NA> 65.103566
1366 <NA> NA
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1386 <NA> 65.698260
1387 <NA> 65.575614
1388 <NA> 65.369538
1389 <NA> 65.480852
1390 <NA> 65.612036
1391 <NA> 65.533773
1392 <NA> 65.513310
1393 <NA> 65.183635
1394 <NA> 65.632586
1395 <NA> 65.431400
1396 <NA> 65.294759
1397 <NA> 65.360027
1398 <NA> 65.328470
1399 <NA> 65.093539
1400 <NA> 65.581364
1401 <NA> 65.367900
1402 <NA> 65.380899
1403 <NA> 65.472944
1404 <NA> 65.388660
1405 <NA> 65.346695
1406 <NA> NAplot full predictions
- What do you think if the predictions? Any better than model 1?
- Do you agree with the Hmax values generated by the model?
- If not, why do you think the model is generating those values? (also see next slide)
DPR data + all predictions
- This may be helpful in answering the last question
Let’s try a new model
- Having Hmax alone vary by population did not produce a very good fit.
- Exercise: Create and fit a model that allows Hmax and k parameters to vary by population
- Plot your results: Any better?
- Perform a model comparison among all 3 models using the
lootechnique shown above: which fits best?
My formula
get the priors
Please review your notes and figure out how to get the possible priors for the formula on the previous slide
prior class coef group resp dpar nlpar lb ub source
student_t(3, 0, 4.2) sigma 0 default
(flat) b delta default
(flat) b Intercept delta (vectorized)
(flat) b Hmax default
(flat) b Intercept Hmax (vectorized)
(flat) b popCC Hmax (vectorized)
(flat) b popDPR Hmax (vectorized)
(flat) b Hmin default
(flat) b Intercept Hmin (vectorized)
(flat) b k default
(flat) b Intercept k (vectorized)
(flat) b popCC k (vectorized)
(flat) b popDPR k (vectorized)Set the priors
What priors should we use?
prior3 <- c(set_prior("normal(5,3)", lb=0, nlpar="Hmin"),
set_prior("normal(60,15)", nlpar="Hmax"),
set_prior("normal(0,20)", nlpar="Hmax", coef="popCC"),
set_prior("normal(0,20)", nlpar="Hmax", coef="popDPR"),
set_prior("gamma(2,2)", nlpar = "k"), # gamma constrains to be > 0
set_prior("normal(0, 1)", nlpar = "k", coef="popCC"),
set_prior("normal(0, 1)", nlpar = "k", coef= "popDPR"),
set_prior("gamma(20, 3)", nlpar="delta")
)I use a gamma on k to keep the Intercept k positive.
I use a zero-centered normal for the popCC and popDPR k priors so that these can vary above or below the intercept value of k
model summary
Running /Library/Frameworks/R.framework/Resources/bin/R CMD SHLIB foo.c
using C compiler: ‘Apple clang version 13.1.6 (clang-1316.0.21.2.5)’
using SDK: ‘MacOSX12.3.sdk’
clang -arch arm64 -I"/Library/Frameworks/R.framework/Resources/include" -DNDEBUG -I"/Library/Frameworks/R.framework/Versions/4.3-arm64/Resources/library/Rcpp/include/" -I"/Library/Frameworks/R.framework/Versions/4.3-arm64/Resources/library/RcppEigen/include/" -I"/Library/Frameworks/R.framework/Versions/4.3-arm64/Resources/library/RcppEigen/include/unsupported" -I"/Library/Frameworks/R.framework/Versions/4.3-arm64/Resources/library/BH/include" -I"/Library/Frameworks/R.framework/Versions/4.3-arm64/Resources/library/StanHeaders/include/src/" -I"/Library/Frameworks/R.framework/Versions/4.3-arm64/Resources/library/StanHeaders/include/" -I"/Library/Frameworks/R.framework/Versions/4.3-arm64/Resources/library/RcppParallel/include/" -I"/Library/Frameworks/R.framework/Versions/4.3-arm64/Resources/library/rstan/include" -DEIGEN_NO_DEBUG -DBOOST_DISABLE_ASSERTS -DBOOST_PENDING_INTEGER_LOG2_HPP -DSTAN_THREADS -DUSE_STANC3 -DSTRICT_R_HEADERS -DBOOST_PHOENIX_NO_VARIADIC_EXPRESSION -D_HAS_AUTO_PTR_ETC=0 -include '/Library/Frameworks/R.framework/Versions/4.3-arm64/Resources/library/StanHeaders/include/stan/math/prim/fun/Eigen.hpp' -D_REENTRANT -DRCPP_PARALLEL_USE_TBB=1 "-I/opt/R/arm64/include -I/opt/homebrew/include" -fPIC -falign-functions=64 -Wall -g -O2 -c foo.c -o foo.o
In file included from <built-in>:1:
In file included from /Library/Frameworks/R.framework/Versions/4.3-arm64/Resources/library/StanHeaders/include/stan/math/prim/fun/Eigen.hpp:22:
In file included from /Library/Frameworks/R.framework/Versions/4.3-arm64/Resources/library/RcppEigen/include/Eigen/Dense:1:
In file included from /Library/Frameworks/R.framework/Versions/4.3-arm64/Resources/library/RcppEigen/include/Eigen/Core:88:
/Library/Frameworks/R.framework/Versions/4.3-arm64/Resources/library/RcppEigen/include/Eigen/src/Core/util/Macros.h:628:1: error: unknown type name 'namespace'
namespace Eigen {
^
/Library/Frameworks/R.framework/Versions/4.3-arm64/Resources/library/RcppEigen/include/Eigen/src/Core/util/Macros.h:628:16: error: expected ';' after top level declarator
namespace Eigen {
^
;
In file included from <built-in>:1:
In file included from /Library/Frameworks/R.framework/Versions/4.3-arm64/Resources/library/StanHeaders/include/stan/math/prim/fun/Eigen.hpp:22:
In file included from /Library/Frameworks/R.framework/Versions/4.3-arm64/Resources/library/RcppEigen/include/Eigen/Dense:1:
/Library/Frameworks/R.framework/Versions/4.3-arm64/Resources/library/RcppEigen/include/Eigen/Core:96:10: fatal error: 'complex' file not found
#include <complex>
^~~~~~~~~
3 errors generated.
make: *** [foo.o] Error 1 Family: gaussian
Links: mu = identity; sigma = identity
Formula: height_cm ~ Hmax - (Hmax - Hmin) * exp(-(k/100 * day)^delta)
Hmin ~ 1
delta ~ 1
Hmax ~ pop
k ~ pop
Data: datbcd (Number of observations: 907)
Draws: 4 chains, each with iter = 2000; warmup = 1000; thin = 1;
total post-warmup draws = 4000
Population-Level Effects:
Estimate Est.Error l-95% CI u-95% CI Rhat Bulk_ESS Tail_ESS
Hmin_Intercept 4.04 0.52 3.00 5.04 1.00 3304 2520
delta_Intercept 6.69 0.52 5.73 7.78 1.00 2394 2914
Hmax_Intercept 64.88 1.32 62.42 67.56 1.00 2809 2631
Hmax_popCC -15.04 21.38 -46.58 30.09 1.00 1897 2174
Hmax_popDPR -28.29 7.65 -38.87 -8.77 1.00 1738 1277
k_Intercept 0.67 0.01 0.65 0.69 1.00 2614 2394
k_popCC 0.12 0.11 -0.03 0.36 1.00 1702 1690
k_popDPR 0.32 0.07 0.16 0.45 1.00 1644 1414
Family Specific Parameters:
Estimate Est.Error l-95% CI u-95% CI Rhat Bulk_ESS Tail_ESS
sigma 11.18 0.26 10.69 11.70 1.00 3917 2676
Draws were sampled using sampling(NUTS). For each parameter, Bulk_ESS
and Tail_ESS are effective sample size measures, and Rhat is the potential
scale reduction factor on split chains (at convergence, Rhat = 1).model plot
pairs
You can use a pairs plot to see how to parameters co-vary during the fit. Generally we don’t want to see a strong correlation among parameters. Here we see that Hmax and K for popCC have an inverse correlation. This isn’t ideal but I think it is because we have so little CC data. We could impose narrower priors on these parameters but given the lack of data I think I will just leave it.
Predictions
Model comparison
Next
For Monday March 4th
- Fit a model where delta and Hmax can vary by pop.
- Fit a model where delta, k, and Hmax can vary by pop. Don’t worry if this doesn’t work well (but if it doesn’t, think about why it doesn’t)
- Do model diagnostics, plots, and predictive plots on the above.
- Do a model comparison between all 5 models
Other stuff that Julin is thinking about for future meetings
- Uncertainty on the predictions
- On to random effects and all pops
- CENSORED DATA?